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js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="116740">View All (9)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="116740" href="https://www.academia.edu/Documents/in/Cognitive_Neuroscience"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://newcastle-au.academia.edu/FriniKarayanidis","location":"/FriniKarayanidis","scheme":"https","host":"newcastle-au.academia.edu","port":null,"pathname":"/FriniKarayanidis","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Cognitive Neuroscience"]}" data-trace="false" data-dom-id="Pill-react-component-3f238af9-460e-4c0b-8991-0f868ecdc5a9"></div> <div 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data-dom-id="Pill-react-component-7b6a4755-b3ec-4793-a79a-2d525e2d3a98"></div> <div id="Pill-react-component-7b6a4755-b3ec-4793-a79a-2d525e2d3a98"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Frini Karayanidis</h3></div><div class="js-work-strip profile--work_container" data-work-id="38974616"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/38974616/Event_related_Potentials_Associated_with_Masked_Priming_of_Test_Cues_Reveal_Multiple_Potential_Contributions_to_Recognition_Memory"><img alt="Research paper thumbnail of Event-related Potentials Associated with Masked Priming of Test Cues Reveal Multiple Potential Contributions to Recognition Memory" class="work-thumbnail" src="https://attachments.academia-assets.com/59079519/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/38974616/Event_related_Potentials_Associated_with_Masked_Priming_of_Test_Cues_Reveal_Multiple_Potential_Contributions_to_Recognition_Memory">Event-related Potentials Associated with Masked Priming of Test Cues Reveal Multiple Potential Contributions to Recognition Memory</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://manchester.academia.edu/AnnaWoollams">Anna Woollams</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a></span></div><div class="wp-workCard_item"><span>Journal of Cognitive Neuroscience</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">& The relationship between recognition memory and repetition priming remains unclear. Priming is ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">& The relationship between recognition memory and repetition priming remains unclear. Priming is believed to reflect increased processing fluency for previously studied items relative to new items. Manipulations that affect fluency can also affect the likelihood that participants will judge items as studied in recognition tasks. This attribution of fluency to memory has been related to the familiarity process, as distinct from the recollection process, that is assumed by dual-process models of recognition memory. To investigate the time courses and neural sources of fluency, familiarity, and recollection, we conducted an event-related potential (ERP) study of recognition memory using masked priming of test cues and a remember/know paradigm. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18481929"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18481929/Primary_and_secondary_neural_networks_of_auditory_prepulse_inhibition_a_functional_magnetic_resonance_imaging_study_of_sensorimotor_gating_of_the_human_acoustic_startle_response"><img alt="Research paper thumbnail of Primary and secondary neural networks of auditory prepulse inhibition: a functional magnetic resonance imaging study of sensorimotor gating of the human acoustic startle response" class="work-thumbnail" src="https://attachments.academia-assets.com/40087199/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18481929/Primary_and_secondary_neural_networks_of_auditory_prepulse_inhibition_a_functional_magnetic_resonance_imaging_study_of_sensorimotor_gating_of_the_human_acoustic_startle_response">Primary and secondary neural networks of auditory prepulse inhibition: a functional magnetic resonance imaging study of sensorimotor gating of the human acoustic startle response</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/GavinCooper">Gavin Cooper</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/RossFulham">Ross Fulham</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/LindaCampbell">Linda Campbell</a></span></div><div class="wp-workCard_item"><span>European Journal of Neuroscience</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Feedforward inhibition deficits have been consistently demonstrated in a range of neuropsychiatri...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Feedforward inhibition deficits have been consistently demonstrated in a range of neuropsychiatric conditions using prepulse inhibition (PPI) of the acoustic startle eye-blink reflex when assessing sensorimotor gating. While PPI can be recorded in acutely decerebrated rats, behavioural, pharmacological and psychophysiological studies suggest the involvement of a complex neural network extending from brainstem nuclei to higher order cortical areas. The current functional magnetic resonance imaging study investigated the neural network underlying PPI and its association with electromyographically (EMG) recorded PPI of the acoustic startle eye-blink reflex in 16 healthy volunteers. A sparse imaging design was employed to model signal changes in blood oxygenation level-dependent (BOLD) responses to acoustic startle probes that were preceded by a prepulse at 120 ms or 480 ms stimulus onset asynchrony or without prepulse. Sensorimotor gating was EMG confirmed for the 120-ms prepulse condition, while startle responses in the 480-ms prepulse condition did not differ from startle alone. Multiple regression analysis of BOLD contrasts identified activation in pons, thalamus, caudate nuclei, left angular gyrus and bilaterally in anterior cingulate, associated with EMGrecorded sensorimotor gating. Planned contrasts confirmed increased pons activation for startle alone vs 120-ms prepulse condition, while increased anterior superior frontal gyrus activation was confirmed for the reverse contrast. Our findings are consistent with a primary pontine circuitry of sensorimotor gating that interconnects with inferior parietal, superior temporal, frontal and prefrontal cortices via thalamus and striatum. PPI processes in the prefrontal, frontal and superior temporal cortex were functionally distinct from sensorimotor gating.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="848ee056d111cf4cd18ea310fd050fd3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40087199,"asset_id":18481929,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40087199/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18481929"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18481929"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18481929; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16673187"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16673187/Extending_the_Failure_to_Engage_Theory_of_task_switch_costs"><img alt="Research paper thumbnail of Extending the Failure-to-Engage Theory of task switch costs." class="work-thumbnail" src="https://attachments.academia-assets.com/39112068/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16673187/Extending_the_Failure_to_Engage_Theory_of_task_switch_costs">Extending the Failure-to-Engage Theory of task switch costs.</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AndrewHeathcote">Andrew Heathcote</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://utas.academia.edu/AndrewHeathcote">Andrew Heathcote</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Failure-to-Engage (FTE, De Jong, 2000) theory explains slowed response time after switching tasks...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Failure-to-Engage (FTE, De Jong, 2000) theory explains slowed response time after switching tasks as in part due to participants sometimes failing to prepare. rejected FTE because, in an alternating-runs paradigm, they did not observe fixed crossing point between response-time distributions that it predicts. We replicated these findings in a cued-task paradigm that allowed us to separately examine the effects of response-to-target interval and cue-to-target interval. These results guided an extension of FTE that was tested in a further experiment and shown to be able to accommodate the effects of the interval manipulations as well as both task and cue switching. We then apply a new modeling approach to obtain direct estimates of the probability of preparation and conclude that De Jong's insights about preparation failure provide a tractable framework that can explain aspects of all of the four major task-switching phenomena identified by .</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c68ca79939b59f18f667ebf36377924c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39112068,"asset_id":16673187,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39112068/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16673187"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16673187"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16673187; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c68ca79939b59f18f667ebf36377924c" } } $('.js-work-strip[data-work-id=16673187]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16673187,"title":"Extending the Failure-to-Engage Theory of task switch costs.","internal_url":"https://www.academia.edu/16673187/Extending_the_Failure_to_Engage_Theory_of_task_switch_costs","owner_id":32572558,"coauthors_can_edit":true,"owner":{"id":32572558,"first_name":"Andrew","middle_initials":"","last_name":"Heathcote","page_name":"AndrewHeathcote","domain_name":"utas","created_at":"2015-06-26T15:12:28.505-07:00","display_name":"Andrew Heathcote","url":"https://utas.academia.edu/AndrewHeathcote"},"attachments":[{"id":39112068,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39112068/thumbnails/1.jpg","file_name":"Extending_the_Failure-to-Engage_Theory_of_task_switch_costs.pdf","download_url":"https://www.academia.edu/attachments/39112068/download_file","bulk_download_file_name":"Extending_the_Failure_to_Engage_Theory_o.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39112068/Extending_the_Failure-to-Engage_Theory_of_task_switch_costs-libre.pdf?1444610576=\u0026response-content-disposition=attachment%3B+filename%3DExtending_the_Failure_to_Engage_Theory_o.pdf\u0026Expires=1739826316\u0026Signature=fqWnY69g8RFVQQ0dtcxlJnSYMUN-P9MyfqD41CB-82kamFxu7T4WOLAXIuG43s2DjSorvDI6PuLjv5b3iupWYhBrJi8pddah4KF4txrxMr2mDFX8a1UnhJ-XhQ9eq9DALN42xoZZXkgyldYKFm6MwEwPsZI9496golwMKQNLaWhOTcELKeY2BnQPsuZ~sLgl-T5q5Cwjo53bHqCu4N-3QzdYhYrrYifbvridg6EKwrBtb0dITpEHfN4sv3xB7B0TGJT7k4zFh8FEDRB6Hp~QeUpDivajQfGX8OXzJjV-sohTE4XrIjWTJtGk1EK3nrH3xr2DItLUuJdDZOqrFldH8Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16673452"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16673452/Switch_specific_and_general_preparation_map_onto_different_ERP_components_in_a_task_switching_paradigm"><img alt="Research paper thumbnail of Switch-specific and general preparation map onto different ERP components in a task-switching paradigm." class="work-thumbnail" src="https://attachments.academia-assets.com/39112234/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16673452/Switch_specific_and_general_preparation_map_onto_different_ERP_components_in_a_task_switching_paradigm">Switch-specific and general preparation map onto different ERP components in a task-switching paradigm.</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://utas.academia.edu/AndrewHeathcote">Andrew Heathcote</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We examined whether the cue-locked centroparietal positivity is associated with switch-specific o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We examined whether the cue-locked centroparietal positivity is associated with switch-specific or general preparation processes. If this positivity (300-400 ms) indexes switch-specific preparation, faster switch trials associated with smaller RT switch cost should have a larger positivity as compared to slower switch trials, but no such association should be evident for repeat trials. We extracted ERP waveforms corresponding to semi-deciles of each participant's RT distribution (i.e., fastest to slowest 5% of trials) for switch and repeat conditions. Consistent with a switch-specific preparation process, centroparietal positivity amplitude was linked to slower RT and larger RT switch cost for switch but not repeat trials. A later pre-target negativity (500-600 ms) was inversely correlated with RT for both switch and repeat trials, consistent with a general anticipatory preparation processes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="69114041dce030a9441e716af35082e2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39112234,"asset_id":16673452,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39112234/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16673452"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16673452"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16673452; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16672927"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16672927/Anodal_tDCS_over_the_Motor_Cortex_on_Prepared_and_Unprepared_Responses_in_Young_Adults"><img alt="Research paper thumbnail of Anodal tDCS over the Motor Cortex on Prepared and Unprepared Responses in Young Adults." class="work-thumbnail" src="https://attachments.academia-assets.com/39111955/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16672927/Anodal_tDCS_over_the_Motor_Cortex_on_Prepared_and_Unprepared_Responses_in_Young_Adults">Anodal tDCS over the Motor Cortex on Prepared and Unprepared Responses in Young Adults.</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://utas.academia.edu/AndrewHeathcote">Andrew Heathcote</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Anodal transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) has been...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Anodal transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) has been proposed as a possible therapeutic rehabilitation technique for motor impairment. However, despite extensive investigation into the effects of anodal tDCS on motor output, there is little information on how anodal tDCS affects response processes. In this study, we used a cued go/nogo task with both directional and non-directional cues to assess the effects of anodal tDCS over the dominant (left) primary motor cortex on prepared and unprepared motor responses. Three experiments explored whether the effectiveness of tDCS varied with timing between stimulation and test. Healthy, right-handed young adults participated in a double-blind randomised controlled design with crossover of anodal tDCS and sham stimulation. In Experiment 1, twenty-four healthy young adults received anodal tDCS over dominant M1 at least 40 mins before task performance. In Experiment 2, eight participants received anodal tDCS directly before task performance. In Experiment 3, twenty participants received anodal tDCS during task performance. In all three experiments, participants responded faster to directional compared to non-directional cues and with their right hand. However, anodal tDCS had no effect on go/nogo task performance at any stimulation test interval. Bayesian analysis confirmed that anodal stimulation had no effect on response speed. We conclude that anodal tDCS over M1 does not improve response speed of prepared or unprepared responses of young adults in a go/nogo task.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f416f7877242f90a87e87b370375e504" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39111955,"asset_id":16672927,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39111955/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16672927"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16672927"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16672927; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067945"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067945/An_exploration_of_varieties_of_visual_attention_ERP_findings"><img alt="Research paper thumbnail of An exploration of varieties of visual attention: ERP findings" class="work-thumbnail" src="https://attachments.academia-assets.com/49463238/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067945/An_exploration_of_varieties_of_visual_attention_ERP_findings">An exploration of varieties of visual attention: ERP findings</a></div><div class="wp-workCard_item"><span>Cognitive Brain Research</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A set of five tasks was designed to examine dynamic aspects of visual attention: selective attent...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A set of five tasks was designed to examine dynamic aspects of visual attention: selective attention to color, selective attention to pattern, dividing and switching attention between color and pattern, and selective attention to pattern with changing target. These varieties of visual attention were examined using the same set of stimuli under different instruction sets; thus differences between tasks cannot be attributed to differences in the perceptual features of the stimuli. ERP data are presented for each of these tasks. A within-task analysis of Ž . different stimulus types varying in similarity to the attended target feature revealed that an early frontal selection positivity FSP was evident in selective attention tasks, regardless of whether color was the attended feature. The scalp distribution of a later posterior Ž . selection negativity SN was affected by whether the attended feature was color or pattern. The SN was largely unaffected by dividing attention across color and pattern. A large widespread positivity was evident in most conditions, consisting of at least three subcomponents which were differentially affected by the attention conditions. These findings are discussed in relation to prior research and the time course of visual attention processes in the brain. q 0926-6410r99r$ -see front matter q 1999 Elsevier Science B.V. All rights reserved.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="94105a202915219194f1f548b833987e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463238,"asset_id":5067945,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463238/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067945"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067945"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067945; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067944"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067944/Human_brain_regions_required_for_the_dividing_and_switching_of_attention_between_two_features_of_a_single_object"><img alt="Research paper thumbnail of Human brain regions required for the dividing and switching of attention between two features of a single object" class="work-thumbnail" src="https://attachments.academia-assets.com/49463226/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067944/Human_brain_regions_required_for_the_dividing_and_switching_of_attention_between_two_features_of_a_single_object">Human brain regions required for the dividing and switching of attention between two features of a single object</a></div><div class="wp-workCard_item"><span>Cognitive Brain Research</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="834d64f21efc1c10151a8ba7b75f6580" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463226,"asset_id":5067944,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463226/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067944"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067944"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067944; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067943"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/5067943/Frontal_processing_negativity_in_a_visual_selective_attention_task"><img alt="Research paper thumbnail of Frontal processing negativity in a visual selective attention task" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/5067943/Frontal_processing_negativity_in_a_visual_selective_attention_task">Frontal processing negativity in a visual selective attention task</a></div><div class="wp-workCard_item"><span>Electroencephalography and Clinical Neurophysiology</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The auditory processing negativity has been associated with the maintenance of an internal repres...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The auditory processing negativity has been associated with the maintenance of an internal representation of context and has been shown to be dependent on the integrity of the prefrontal cortex. Previous visual selective attention studies have failed to show consistent evidence of a frontal processing negativity. The present study employed a multi-dimensional visual selective attention task, modelled after Hillyard and Munte (Percept. Psychophys., 1984, 36: 185-198). Subjects responded to infrequent target stimuli of a particular location, color and height combination, while ignoring all stimuli differing from the target on any of these dimensions. Consistent with previous literature, at posterior sites, location selection resulted in enhancement of P1 and N1 amplitude, followed by color selection within the attended location at around 200 ms. These effects were most pronounced contralaterally. However, unlike previous studies, a large prolonged processing negativity was evident at all frontal sites. This effect involved three components, an early frontally negative component peaking around the N1, a frontocentral negativity maximal at 300 ms and a long-lasting widespread negativity beginning after 500 ms. Processing of location preceded the onset of color and location/color conjunction processing, suggesting hierarchical stimulus feature analysis. However, at posterior temporal sites there was evidence of parallel color processing in the unattended location.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067943"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067943"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067943; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067943]").text(description); $(".js-view-count[data-work-id=5067943]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067943; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067943']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5067943]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5067943,"title":"Frontal processing negativity in a visual selective attention task","internal_url":"https://www.academia.edu/5067943/Frontal_processing_negativity_in_a_visual_selective_attention_task","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067942"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/5067942/The_spatial_and_temporal_dynamics_of_anticipatory_preparation_and_response_inhibition_in_task_switching"><img alt="Research paper thumbnail of The spatial and temporal dynamics of anticipatory preparation and response inhibition in task-switching" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/5067942/The_spatial_and_temporal_dynamics_of_anticipatory_preparation_and_response_inhibition_in_task_switching">The spatial and temporal dynamics of anticipatory preparation and response inhibition in task-switching</a></div><div class="wp-workCard_item"><span>Neuroimage</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigated ERP and fMRI correlates of anticipatory preparation and response inhibition in a ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We investigated ERP and fMRI correlates of anticipatory preparation and response inhibition in a cued task-switching paradigm with informatively cued, non-informatively cued and no-go trials. Cue-locked ERPs showed evidence for a multicomponent preparation process. An early cue-locked differential positivity was larger for informative vs. non-informative cues and its amplitude correlated with differential activity for informatively vs. non-informatively cued trials in the dorsolateral prefrontal cortex (DLPFC), consistent with a goal activation process. A later differential positivity was larger for informatively cued switch vs. repeat trials and its amplitude correlated with informatively cued switch vs. repeat activity in the posterior parietal cortex (PPC), compatible with a category-response (C-R) rule activation process. No-go trials elicited a frontal P3, whose amplitude was negatively correlated with activity in the ventrolateral prefrontal cortex (VLPFC) and basal ganglia motor network, suggesting that a network responsible for response execution was inhibited in the course of a no-go trial. These findings indicate that anticipatory preparation in task-switching is comprised of at least two processes: goal activation and C-R rule activation. They also support a functional dissociation between DLPFC and VLPFC, with the former involved in top-down biasing and the latter involved in response inhibition.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067942"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067942"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067942; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067942]").text(description); $(".js-view-count[data-work-id=5067942]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067942; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067942']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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</script> <div class="js-work-strip profile--work_container" data-work-id="5067940"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067940/The_effect_of_clozapine_therapy_on_psychometric_and_event_related_potential_ERP_measures_on_cognitive_dysfunction_in_schizophrenia"><img alt="Research paper thumbnail of The effect of clozapine therapy on psychometric and event-related potential (ERP) measures on cognitive dysfunction in schizophrenia" class="work-thumbnail" src="https://attachments.academia-assets.com/49463230/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067940/The_effect_of_clozapine_therapy_on_psychometric_and_event_related_potential_ERP_measures_on_cognitive_dysfunction_in_schizophrenia">The effect of clozapine therapy on psychometric and event-related potential (ERP) measures on cognitive dysfunction in schizophrenia</a></div><div class="wp-workCard_item"><span>Schizophrenia Research</span><span>, 1995</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">MDL 100 907 is a selective 5-HT2A receptor antagonist under development for the treatment of schi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">MDL 100 907 is a selective 5-HT2A receptor antagonist under development for the treatment of schizophrenia. In addition to its efficacy in animal models of hyperdopaminergic function, MDL 100907 has recently been reported to antagonize both MK-801-induced increases in A10 cell firing and locomotor behavior. The present study examined the effect of MDL</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8090928a2460ee98ba6b16e599bcc978" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463230,"asset_id":5067940,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463230/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067940"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067940"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067940; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067940]").text(description); $(".js-view-count[data-work-id=5067940]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067940; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067940']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8090928a2460ee98ba6b16e599bcc978" } } $('.js-work-strip[data-work-id=5067940]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5067940,"title":"The effect of clozapine therapy on psychometric and event-related potential (ERP) measures on cognitive dysfunction in schizophrenia","internal_url":"https://www.academia.edu/5067940/The_effect_of_clozapine_therapy_on_psychometric_and_event_related_potential_ERP_measures_on_cognitive_dysfunction_in_schizophrenia","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[{"id":49463230,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49463230/thumbnails/1.jpg","file_name":"0920-9964_2895_2995509-820161008-28667-k9qs7n.pdf","download_url":"https://www.academia.edu/attachments/49463230/download_file","bulk_download_file_name":"The_effect_of_clozapine_therapy_on_psych.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49463230/0920-9964_2895_2995509-820161008-28667-k9qs7n-libre.pdf?1475976881=\u0026response-content-disposition=attachment%3B+filename%3DThe_effect_of_clozapine_therapy_on_psych.pdf\u0026Expires=1739826316\u0026Signature=c8NMDC5wg7aq2vGI9kDma4UlSwnlUI0ltI6G5zuwgjGsLMleXcNdQvqg0iJgxe6bsPfdAAG~8fBv9SwvajU5mzAx3STzh7erogTROCNE7Khibry5mvfeCzrjAtVBiwiLUcFwOlh0~hIJMwfs0HTPuV4FiDMcifjnFmCe8AhGNezdiFU9XgHnLjzMRqo1H1ecnRHGqs1mDVn5QvhmccX9EsP9EqjWEXFDDgGyFVPzCnMSbawh9RvfURrr74L1dO6D3Qr6pNxvbDnruyexfABDmnFY68J7sD6-PKG6EAFDGDnDaLIgeBABg3tdl0RPX1j5lgkl4l2LwcgeO~amSOwtfw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067939"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067939/The_Potential_for_New_Understandings_of_Normal_and_Abnormal_Cognition_by_Integration_of_Neuroimaging_and_Behavioral_Data_Not_an_Exercise_in_Carrying_Coals_to_Newcastle"><img alt="Research paper thumbnail of The Potential for New Understandings of Normal and Abnormal Cognition by Integration of Neuroimaging and Behavioral Data: Not an Exercise in Carrying Coals to Newcastle" class="work-thumbnail" src="https://attachments.academia-assets.com/49463229/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067939/The_Potential_for_New_Understandings_of_Normal_and_Abnormal_Cognition_by_Integration_of_Neuroimaging_and_Behavioral_Data_Not_an_Exercise_in_Carrying_Coals_to_Newcastle">The Potential for New Understandings of Normal and Abnormal Cognition by Integration of Neuroimaging and Behavioral Data: Not an Exercise in Carrying Coals to Newcastle</a></div><div class="wp-workCard_item"><span>Brain Imaging and Behavior</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Discovering the means to prevent and cure schizophrenia is a vision that motivates many scientist...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Discovering the means to prevent and cure schizophrenia is a vision that motivates many scientists. But in order to achieve this goal, we need to understand its neurobiological basis. The emergent metadiscipline of cognitive neuroscience fields an impressive array of tools that can be marshaled towards achieving this goal, including powerful new methods of imaging the brain (both structural and functional) as well as assessments of perceptual and cognitive capacities based on psychophysical procedures, experimental tasks and models developed by cognitive science. We believe that the integration of data from this array of tools offers the greatest possibilities and potential for advancing understanding of the neural basis of not only normal cognition but also the cognitive impairments that are fundamental to schizophrenia. Since sufficient expertise in the application of these tools and methods rarely reside in a single individual, or even a single laboratory, collaboration is a key element in this endeavor. Here, we review some of the products of our integrative efforts in collaboration with our colleagues on the East Coast of Australia and Pacific Rim. This research focuses on the neural basis of executive function deficits and impairments in early auditory processing in patients using various combinations of performance indices (from perceptual and cognitive paradigms), ERPs, fMRI and sMRI. In each case, integration of two or more sources of information provides more information than any one source alone by revealing new insights into structure-function relationships. Furthermore, the addition of other imaging methodologies (such as DTI) and approaches (such as computational models of cognition) offers new horizons in human brain imaging research and in understanding human behavior.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d30ad31c00ff15b8b445d6e379228fcc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463229,"asset_id":5067939,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463229/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067939"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067939"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067939; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067939]").text(description); $(".js-view-count[data-work-id=5067939]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067939; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067939']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d30ad31c00ff15b8b445d6e379228fcc" } } $('.js-work-strip[data-work-id=5067939]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5067939,"title":"The Potential for New Understandings of Normal and Abnormal Cognition by Integration of Neuroimaging and Behavioral Data: Not an Exercise in Carrying Coals to Newcastle","internal_url":"https://www.academia.edu/5067939/The_Potential_for_New_Understandings_of_Normal_and_Abnormal_Cognition_by_Integration_of_Neuroimaging_and_Behavioral_Data_Not_an_Exercise_in_Carrying_Coals_to_Newcastle","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[{"id":49463229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49463229/thumbnails/1.jpg","file_name":"The_Potential_for_New_Understandings_of_20161008-23098-5dei4h.pdf","download_url":"https://www.academia.edu/attachments/49463229/download_file","bulk_download_file_name":"The_Potential_for_New_Understandings_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49463229/The_Potential_for_New_Understandings_of_20161008-23098-5dei4h-libre.pdf?1475976883=\u0026response-content-disposition=attachment%3B+filename%3DThe_Potential_for_New_Understandings_of.pdf\u0026Expires=1739826316\u0026Signature=c6IP8~kmaZ~iegC~KYMWmYv9rYD2yDIPbF9seNQqwp67VGeep0FG3k704QwCKSGuwSEL07KzDLsCZrfvqPHLcHKGFxzTL0XdTo7ILjnY5MA3EokdBfiUtiTZBYfor-L~0ghw4JEKbquF8Fu~RTuVvc1Ul-n2ILfdja-sUvnn1uX0~gwKthxIgho31ljkl9D2HuAHdXRNyxnooLyLt1vAjCvMaJjn-IzIsE8nrD1yj3sdUvEZQu0WlM3fChqUIqSgsZnmPhRinUgetU6Nwh~mwsjjobtelnFqnlcPko1j0A3l34FG2y6HzY9ascHLfXaVKvnauMuBkJNDfSBugVGIxg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067938"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067938/Evidence_of_visual_processing_negativity_with_attention_to_orientation_and_color_in_central_space"><img alt="Research paper thumbnail of Evidence of visual processing negativity with attention to orientation and color in central space" class="work-thumbnail" src="https://attachments.academia-assets.com/49463227/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067938/Evidence_of_visual_processing_negativity_with_attention_to_orientation_and_color_in_central_space">Evidence of visual processing negativity with attention to orientation and color in central space</a></div><div class="wp-workCard_item"><span>Electroencephalography and Clinical Neurophysiology</span><span>, 1997</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this study was to determine whether the visual frontal processing negativity reported ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this study was to determine whether the visual frontal processing negativity reported in our earlier paper (Karayanidis, F. and Michie, P.T. Electroenceph. clin. Neurophysiol., 1996, 99: 38-56) is related to selection of spatial location, or occurs regardless of the stimulus features used to define the target. Subjects were instructed to respond to infrequent target stimuli of a particular combination of orientation, color and size. All stimuli were presented at central fixation. Posteriorly, orientation selection enhanced P125 amplitude over the right hemisphere but neither orientation nor color selection had an effect on N190. Posterior selection negativities emerged for orientation, color and their conjunction. At anterior sites, widespread effects of orientation and color processing were evident. The effect of location selection on the anterior Nl seen in our previous study was not evident with orientation selection. Instead, selection of orientation, color and their conjunction resulted in PI455250 frontally. Two later anterior negativities emerged. The early negativity (vPNe) was affected independently by orientation and color selection while the late negativity (vPN1) was affected only by selection of feature conjunction. Thus, the present results show that, like its auditory counterpart, the visual processing negativity occurs with a variety of stimulus classification features and is not exclusively related to spatial selection. 0 1997 Elsevier Science Ireland Ltd.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="18f02cf55eac35de6e4424caa4ad40ed" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463227,"asset_id":5067938,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463227/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067938"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067938"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067938; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067938]").text(description); $(".js-view-count[data-work-id=5067938]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067938; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067938']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "18f02cf55eac35de6e4424caa4ad40ed" } } $('.js-work-strip[data-work-id=5067938]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5067938,"title":"Evidence of visual processing negativity with attention to orientation and color in central space","internal_url":"https://www.academia.edu/5067938/Evidence_of_visual_processing_negativity_with_attention_to_orientation_and_color_in_central_space","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[{"id":49463227,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49463227/thumbnails/1.jpg","file_name":"s0013-4694_2897_2996077-620161008-28667-1txj9ye.pdf","download_url":"https://www.academia.edu/attachments/49463227/download_file","bulk_download_file_name":"Evidence_of_visual_processing_negativity.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49463227/s0013-4694_2897_2996077-620161008-28667-1txj9ye-libre.pdf?1475976898=\u0026response-content-disposition=attachment%3B+filename%3DEvidence_of_visual_processing_negativity.pdf\u0026Expires=1739826316\u0026Signature=cFju2ajILEbcY-lUlvZp5Sd5R5cuznyIBUX-ZRBzQrV~w3ONCXry4SFYUkPrLDK-53gBi6tToNifqHPXYMNNrJTyYMFQSzIJtPGNX-5MG~j~YHuGFxnDLhbHsM5hJh1sSEgCX4SG68r5JQn44K~xKoGdlMPSdBYrBDO-hCqKMBHq4kBnWxCSQx-vJQK1-sQ5jenR1ehgoFGPFmr58ASZ3lSxpIV4E9Wu2ITC0uE2zuc4uEuLy~PlDxU7iReS62JZNYVre6moWES86vfWlbB7L2IrfnouNjbRi6dvjadQUjhiv6YvczAUTDIXmhmXepqjfJzGVLC0XP52REGEpVID4g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067937"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067937/Components_of_task_set_reconfiguration_Differential_effects_of_switch_to_and_switch_away_cues"><img alt="Research paper thumbnail of Components of task-set reconfiguration: Differential effects of ‘ switch-to’ and ‘ switch-away’ cues" class="work-thumbnail" src="https://attachments.academia-assets.com/49463232/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067937/Components_of_task_set_reconfiguration_Differential_effects_of_switch_to_and_switch_away_cues">Components of task-set reconfiguration: Differential effects of ‘ switch-to’ and ‘ switch-away’ cues</a></div><div class="wp-workCard_item"><span>Brain Research</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Preparation for a switch in task was manipulated using two types of switch cues: 'switchaway' fro...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Preparation for a switch in task was manipulated using two types of switch cues: 'switchaway' from the previous task-set and 'switch-to' a different task-set. Increasing cue-stimulus interval resulted in a reduction in reaction time switch cost for switch-to trials only. Cuelocked difference waveforms for both switch-to and switch-away trials showed a large, broad differential positivity, relative to repeat waveforms. However, the later part of the differential positivity was significantly reduced on switch-away trials. A differential positivity then emerged after stimulus onset for switch-away trials only. This suggests that, with a long cue-stimulus interval, the new task-set was implemented before stimulus onset for switch-to trials, whereas on switch-away trials this process was delayed until after stimulus onset leading to increased switch cost. These results demonstrate dissociable effects of switching away from the current task-set and switching to the upcoming task-set and support the interpretation that the differential positivity observed for switch-to trials reflects processes associated with anticipatory task-set reconfiguration.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ec5bfc808500c540f2a81e71b1c6bcfc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463232,"asset_id":5067937,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463232/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067937"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067937"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067937; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828538"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/2828538/Variability_in_proactive_and_reactive_cognitive_control_processes_across_the_adult_lifespan"><img alt="Research paper thumbnail of Variability in proactive and reactive cognitive control processes across the adult lifespan" class="work-thumbnail" src="https://attachments.academia-assets.com/32379468/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/2828538/Variability_in_proactive_and_reactive_cognitive_control_processes_across_the_adult_lifespan">Variability in proactive and reactive cognitive control processes across the adult lifespan</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Task-switching paradigms produce a highly consistent age-related increase in mixing cost...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Task-switching paradigms produce a highly consistent age-related increase in mixing cost [longer response time (RT) on repeat trials in mixed-task than single-task blocks] but a less consistent age effect on switch cost (longer RT on switch than repeat trials in mixed-task blocks).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="09f0324654efbab21f3852b0c49c2169" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":32379468,"asset_id":2828538,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/32379468/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828538"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828538"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828538; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2828538]").text(description); $(".js-view-count[data-work-id=2828538]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2828538; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='2828538']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "09f0324654efbab21f3852b0c49c2169" } } $('.js-work-strip[data-work-id=2828538]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":2828538,"title":"Variability in proactive and reactive cognitive control processes across the adult lifespan","internal_url":"https://www.academia.edu/2828538/Variability_in_proactive_and_reactive_cognitive_control_processes_across_the_adult_lifespan","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[{"id":32379468,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/32379468/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/32379468/download_file","bulk_download_file_name":"Variability_in_proactive_and_reactive_co.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/32379468/pdf-libre.pdf?1391086384=\u0026response-content-disposition=attachment%3B+filename%3DVariability_in_proactive_and_reactive_co.pdf\u0026Expires=1739826316\u0026Signature=BT-uvMBqF2y2gTtwPuCtJCoHzrudsXG79LkLhkgq1a~kScJPrSNpyuIApeqoywCKuYruX2u1PW0FCDIhBh73Rcjiw~Qdvn4T5jwUwiA1TSHvV8dRRcsKi0J78XDvpRJAmyp-Amy-9YIu-h-MYbJ1SqqwtgmCUf2BJftfMQa9rJ72wE4EGP-RSRatlBEsIvpt~U-j6dKx6-lX-eA0oHe8SkRKea3zOiRUj~v8UFFtmwBpxNR2NNBXu6~5Gc9oxKZbHDhcrHQSFJRzaucq0-YdK32RsKjPOBxJjXzxVRwmHyvO4mat-urnARwxgDsc-W-82i5t82oVvVOsqFIHpqANNA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828533"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/2828533/Facial_emotion_and_identity_processing_development_in_5_to_15_year_old_children"><img alt="Research paper thumbnail of Facial emotion and identity processing development in 5-to 15-year-old children" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/2828533/Facial_emotion_and_identity_processing_development_in_5_to_15_year_old_children">Facial emotion and identity processing development in 5-to 15-year-old children</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Most developmental studies of emotional face processing to date have focused on infants ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Most developmental studies of emotional face processing to date have focused on infants and very young children. Additionally, studies that examine emotional face processing in older children do not distinguish development in emotion and identity face processing from more generic age-related cognitive improvement. In this study, we developed a paradigm that measures processing of facial expression in comparison to facial identity and complex visual stimuli.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828533"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828533"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828533; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2828533]").text(description); $(".js-view-count[data-work-id=2828533]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2828533; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='2828533']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=2828533]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":2828533,"title":"Facial emotion and identity processing development in 5-to 15-year-old children","internal_url":"https://www.academia.edu/2828533/Facial_emotion_and_identity_processing_development_in_5_to_15_year_old_children","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828527"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/2828527/Adjustments_of_Response_Threshold_during_Task_Switching_A_Model_Based_Functional_Magnetic_Resonance_Imaging_Study"><img alt="Research paper thumbnail of Adjustments of Response Threshold during Task Switching: A Model-Based Functional Magnetic Resonance Imaging Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/2828527/Adjustments_of_Response_Threshold_during_Task_Switching_A_Model_Based_Functional_Magnetic_Resonance_Imaging_Study">Adjustments of Response Threshold during Task Switching: A Model-Based Functional Magnetic Resonance Imaging Study</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Adjustment of response threshold for speed compared with accuracy instructions in two-ch...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Adjustment of response threshold for speed compared with accuracy instructions in two-choice decision-making tasks is associated with activation in the fronto-striatal network, including the pre-supplementary motor area (pre-SMA) and striatum (Forstmann et al., 2008). In contrast, increased response conservativeness is associated with activation of the subthalamic nucleus (STN)(Frank et al., 2007).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828527"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828527"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828527; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2828527]").text(description); $(".js-view-count[data-work-id=2828527]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2828527; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='2828527']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=2828527]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":2828527,"title":"Adjustments of Response Threshold during Task Switching: A Model-Based Functional Magnetic Resonance Imaging Study","internal_url":"https://www.academia.edu/2828527/Adjustments_of_Response_Threshold_during_Task_Switching_A_Model_Based_Functional_Magnetic_Resonance_Imaging_Study","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828523"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/2828523/Combining_ERP_and_fMRI_data_in_the_study_of_cognitive_control"><img alt="Research paper thumbnail of Combining ERP and fMRI data in the study of cognitive control" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/2828523/Combining_ERP_and_fMRI_data_in_the_study_of_cognitive_control">Combining ERP and fMRI data in the study of cognitive control</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cognitive neuroscientists use a wide range of neuroscientific methods to understand the neural ba...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cognitive neuroscientists use a wide range of neuroscientific methods to understand the neural bases of perceptual and cognitive processes. Two of the most commonly used techniques are event-related potentials (ERPs) and functional magnetic resonance imaging (fMRI). Each technique possesses unique advantages and disadvantages that affect the types of research questions that it is best suited to address.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828523"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828523"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828523; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2828523]").text(description); 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But in order to achieve this goal, we need to understand its neurobiological basis.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8654b8a0897ea455e2140e53510e0b72" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":30776954,"asset_id":2828517,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/30776954/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828517"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828517"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828517; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1117245"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1117245/Karayanidis_F_Whitson_L_R_Heathcote_A_Michie_P_2011_Variability_in_preparatory_and_target_driven_cognitive_control_processes_across_the_adult_lifespan_Front_Psychology_2_318_doi_10_3389_fpsyg_2011_00318"><img alt="Research paper thumbnail of Karayanidis, F., Whitson, L.R., Heathcote, A., Michie, P. (2011). Variability in preparatory and target-driven cognitive control processes across the adult lifespan. Front.Psychology 2:318. doi: 10.3389/fpsyg.2011.00318" class="work-thumbnail" src="https://attachments.academia-assets.com/6880708/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1117245/Karayanidis_F_Whitson_L_R_Heathcote_A_Michie_P_2011_Variability_in_preparatory_and_target_driven_cognitive_control_processes_across_the_adult_lifespan_Front_Psychology_2_318_doi_10_3389_fpsyg_2011_00318">Karayanidis, F., Whitson, L.R., Heathcote, A., Michie, P. (2011). Variability in preparatory and target-driven cognitive control processes across the adult lifespan. Front.Psychology 2:318. doi: 10.3389/fpsyg.2011.00318</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Task-switching paradigms produce a highly consistent age-related increase in mixing cost [longer ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Task-switching paradigms produce a highly consistent age-related increase in mixing cost [longer response time (RT) on repeat trials in mixed-task than single-task blocks] but a less consistent age effect on switch cost (longer RT on switch than repeat trials in mixedtask blocks). We use two approaches to examine the adult lifespan trajectory of control processes contributing to mixing cost and switch cost: latent variables derived from an evidence accumulation model of choice, and event-related potentials (ERP) that temporally differentiate proactive (cue-driven) and reactive (target-driven) control processes. Under highly practiced and prepared task conditions, aging was associated with increasing RT mixing cost but reducing RT switch cost. Both effects were largely due to the same cause: an age effect for mixed-repeat trials. In terms of latent variables, increasing age was associated with slower non-decision processes, slower rate of evidence accumulation about the target, and higher response criterion. Age effects on mixing costs were evident only on response criterion, the amount of evidence required to trigger a decision, whereas age effects on switch cost were present for all three latent variables. ERPs showed age-related increases in preparation for mixed-repeat trials, anticipatory attention, and post-target interference. Cue-locked ERPs that are linked to proactive control were associated with early emergence of age differences in response criterion. These results are consistent with age effects on strategic processes controlling decision caution. Consistent with an agerelated decline in cognitive flexibility, younger adults flexibly adjusted response criterion from trial-to-trial on mixed-task blocks, whereas older adults maintained a high criterion for all trials.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ceb4c024e3bc1504274000662bd5449f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":6880708,"asset_id":1117245,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/6880708/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1117245"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1117245"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1117245; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1117245]").text(description); $(".js-view-count[data-work-id=1117245]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1117245; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1117245']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ceb4c024e3bc1504274000662bd5449f" } } $('.js-work-strip[data-work-id=1117245]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1117245,"title":"Karayanidis, F., Whitson, L.R., Heathcote, A., Michie, P. (2011). Variability in preparatory and target-driven cognitive control processes across the adult lifespan. Front.Psychology 2:318. doi: 10.3389/fpsyg.2011.00318","internal_url":"https://www.academia.edu/1117245/Karayanidis_F_Whitson_L_R_Heathcote_A_Michie_P_2011_Variability_in_preparatory_and_target_driven_cognitive_control_processes_across_the_adult_lifespan_Front_Psychology_2_318_doi_10_3389_fpsyg_2011_00318","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[{"id":6880708,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/6880708/thumbnails/1.jpg","file_name":"Karayanidis_Whitson_Heathcote_Michie_2011.pdf","download_url":"https://www.academia.edu/attachments/6880708/download_file","bulk_download_file_name":"Karayanidis_F_Whitson_L_R_Heathcote_A_Mi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/6880708/Karayanidis_Whitson_Heathcote_Michie_2011-libre.pdf?1390848560=\u0026response-content-disposition=attachment%3B+filename%3DKarayanidis_F_Whitson_L_R_Heathcote_A_Mi.pdf\u0026Expires=1739826316\u0026Signature=Bd6TUpLq5k07e7FL9zUAxhjW3QYaUv6EeR3jt3Q-X9RE2iasKX1K9qaxSusDcwMbckVOE2oPWeQGWY8bvAO~oHObOJ2GyG-uwq~abad~2fs4GMGqtf~vTQicsqkwYp0RDB84xGUIkkWd~DQgM7ZCzkDDQO0ckhjpSZkz1ySSHU1ob0It0i7BJh2PHkf8lR41~ej3TjfpVPtoNOj07gsHFGxKCnhzJz9hqcF3dLGhD4iKvMvrJvclffmzr-5oCO6~xC0nHZ9E2pZDld-4bAT8Msfi1KnG-5wPXYMNocIgWiQwbyyF-~wGZ5Flil2cm4JWCmvSaL8D1RdXhunapauerA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); 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Priming is ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">& The relationship between recognition memory and repetition priming remains unclear. Priming is believed to reflect increased processing fluency for previously studied items relative to new items. Manipulations that affect fluency can also affect the likelihood that participants will judge items as studied in recognition tasks. This attribution of fluency to memory has been related to the familiarity process, as distinct from the recollection process, that is assumed by dual-process models of recognition memory. To investigate the time courses and neural sources of fluency, familiarity, and recollection, we conducted an event-related potential (ERP) study of recognition memory using masked priming of test cues and a remember/know paradigm. During the recognition test, studied and unstudied words were preceded by a brief, masked word that was either the same or different.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="41f1ae0971a4b68eabb0c31dab0b8e38" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":59079519,"asset_id":38974616,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/59079519/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="38974616"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="38974616"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 38974616; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=38974616]").text(description); $(".js-view-count[data-work-id=38974616]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 38974616; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='38974616']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="18481929"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/18481929/Primary_and_secondary_neural_networks_of_auditory_prepulse_inhibition_a_functional_magnetic_resonance_imaging_study_of_sensorimotor_gating_of_the_human_acoustic_startle_response"><img alt="Research paper thumbnail of Primary and secondary neural networks of auditory prepulse inhibition: a functional magnetic resonance imaging study of sensorimotor gating of the human acoustic startle response" class="work-thumbnail" src="https://attachments.academia-assets.com/40087199/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/18481929/Primary_and_secondary_neural_networks_of_auditory_prepulse_inhibition_a_functional_magnetic_resonance_imaging_study_of_sensorimotor_gating_of_the_human_acoustic_startle_response">Primary and secondary neural networks of auditory prepulse inhibition: a functional magnetic resonance imaging study of sensorimotor gating of the human acoustic startle response</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/GavinCooper">Gavin Cooper</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/RossFulham">Ross Fulham</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/LindaCampbell">Linda Campbell</a></span></div><div class="wp-workCard_item"><span>European Journal of Neuroscience</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Feedforward inhibition deficits have been consistently demonstrated in a range of neuropsychiatri...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Feedforward inhibition deficits have been consistently demonstrated in a range of neuropsychiatric conditions using prepulse inhibition (PPI) of the acoustic startle eye-blink reflex when assessing sensorimotor gating. While PPI can be recorded in acutely decerebrated rats, behavioural, pharmacological and psychophysiological studies suggest the involvement of a complex neural network extending from brainstem nuclei to higher order cortical areas. The current functional magnetic resonance imaging study investigated the neural network underlying PPI and its association with electromyographically (EMG) recorded PPI of the acoustic startle eye-blink reflex in 16 healthy volunteers. A sparse imaging design was employed to model signal changes in blood oxygenation level-dependent (BOLD) responses to acoustic startle probes that were preceded by a prepulse at 120 ms or 480 ms stimulus onset asynchrony or without prepulse. Sensorimotor gating was EMG confirmed for the 120-ms prepulse condition, while startle responses in the 480-ms prepulse condition did not differ from startle alone. Multiple regression analysis of BOLD contrasts identified activation in pons, thalamus, caudate nuclei, left angular gyrus and bilaterally in anterior cingulate, associated with EMGrecorded sensorimotor gating. Planned contrasts confirmed increased pons activation for startle alone vs 120-ms prepulse condition, while increased anterior superior frontal gyrus activation was confirmed for the reverse contrast. Our findings are consistent with a primary pontine circuitry of sensorimotor gating that interconnects with inferior parietal, superior temporal, frontal and prefrontal cortices via thalamus and striatum. PPI processes in the prefrontal, frontal and superior temporal cortex were functionally distinct from sensorimotor gating.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="848ee056d111cf4cd18ea310fd050fd3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":40087199,"asset_id":18481929,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/40087199/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="18481929"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="18481929"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 18481929; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "848ee056d111cf4cd18ea310fd050fd3" } } $('.js-work-strip[data-work-id=18481929]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":18481929,"title":"Primary and secondary neural networks of auditory prepulse inhibition: a functional magnetic resonance imaging study of sensorimotor gating of the human acoustic startle response","internal_url":"https://www.academia.edu/18481929/Primary_and_secondary_neural_networks_of_auditory_prepulse_inhibition_a_functional_magnetic_resonance_imaging_study_of_sensorimotor_gating_of_the_human_acoustic_startle_response","owner_id":38501115,"coauthors_can_edit":true,"owner":{"id":38501115,"first_name":"Gavin","middle_initials":"","last_name":"Cooper","page_name":"GavinCooper","domain_name":"newcastle-au","created_at":"2015-11-16T20:17:57.515-08:00","display_name":"Gavin Cooper","url":"https://newcastle-au.academia.edu/GavinCooper"},"attachments":[{"id":40087199,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/40087199/thumbnails/1.jpg","file_name":"Primary_and_secondary_neural_networks_of20151116-5477-zpuxr1.pdf","download_url":"https://www.academia.edu/attachments/40087199/download_file","bulk_download_file_name":"Primary_and_secondary_neural_networks_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/40087199/Primary_and_secondary_neural_networks_of20151116-5477-zpuxr1-libre.pdf?1447734282=\u0026response-content-disposition=attachment%3B+filename%3DPrimary_and_secondary_neural_networks_of.pdf\u0026Expires=1739826316\u0026Signature=W6UXPMmFegKpOV-TYVRmjmxNyXZB29cIRv-Xk~KzCloleOeXAuCCBOAMwCRVrb4MByWFejcS8utpveQ0lu-nytjcYrSOBicQmrlt15Y-HezHFBV4I1OS3e4LM~YZpZ7JBdN-no2SqqbZdhmAWaqHjYJUAJC3iZpX6jHQ6IIVKLc1lIOjvGQBiYcNNMsZfL2WCfRsyn-NIVOUJMgTwxFblF6CLuPcpOAWyPTaVBFreFTG1JNa1v0-iUDnzo0GSacwX-UjQZGErXRzqz9a1Y4ica0QSeMFBwofX1euwt5a6geII86kEklk2f9dHHvtUjNlyoBZL2KE7Hz0HM~nLRagpQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16673187"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16673187/Extending_the_Failure_to_Engage_Theory_of_task_switch_costs"><img alt="Research paper thumbnail of Extending the Failure-to-Engage Theory of task switch costs." class="work-thumbnail" src="https://attachments.academia-assets.com/39112068/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16673187/Extending_the_Failure_to_Engage_Theory_of_task_switch_costs">Extending the Failure-to-Engage Theory of task switch costs.</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AndrewHeathcote">Andrew Heathcote</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://utas.academia.edu/AndrewHeathcote">Andrew Heathcote</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Failure-to-Engage (FTE, De Jong, 2000) theory explains slowed response time after switching tasks...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Failure-to-Engage (FTE, De Jong, 2000) theory explains slowed response time after switching tasks as in part due to participants sometimes failing to prepare. rejected FTE because, in an alternating-runs paradigm, they did not observe fixed crossing point between response-time distributions that it predicts. We replicated these findings in a cued-task paradigm that allowed us to separately examine the effects of response-to-target interval and cue-to-target interval. These results guided an extension of FTE that was tested in a further experiment and shown to be able to accommodate the effects of the interval manipulations as well as both task and cue switching. We then apply a new modeling approach to obtain direct estimates of the probability of preparation and conclude that De Jong's insights about preparation failure provide a tractable framework that can explain aspects of all of the four major task-switching phenomena identified by .</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c68ca79939b59f18f667ebf36377924c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39112068,"asset_id":16673187,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39112068/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16673187"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16673187"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16673187; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16673187]").text(description); $(".js-view-count[data-work-id=16673187]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16673187; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16673187']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16673452"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16673452/Switch_specific_and_general_preparation_map_onto_different_ERP_components_in_a_task_switching_paradigm"><img alt="Research paper thumbnail of Switch-specific and general preparation map onto different ERP components in a task-switching paradigm." class="work-thumbnail" src="https://attachments.academia-assets.com/39112234/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16673452/Switch_specific_and_general_preparation_map_onto_different_ERP_components_in_a_task_switching_paradigm">Switch-specific and general preparation map onto different ERP components in a task-switching paradigm.</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://utas.academia.edu/AndrewHeathcote">Andrew Heathcote</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We examined whether the cue-locked centroparietal positivity is associated with switch-specific o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We examined whether the cue-locked centroparietal positivity is associated with switch-specific or general preparation processes. If this positivity (300-400 ms) indexes switch-specific preparation, faster switch trials associated with smaller RT switch cost should have a larger positivity as compared to slower switch trials, but no such association should be evident for repeat trials. We extracted ERP waveforms corresponding to semi-deciles of each participant's RT distribution (i.e., fastest to slowest 5% of trials) for switch and repeat conditions. Consistent with a switch-specific preparation process, centroparietal positivity amplitude was linked to slower RT and larger RT switch cost for switch but not repeat trials. A later pre-target negativity (500-600 ms) was inversely correlated with RT for both switch and repeat trials, consistent with a general anticipatory preparation processes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="69114041dce030a9441e716af35082e2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39112234,"asset_id":16673452,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39112234/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16673452"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16673452"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16673452; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16673452]").text(description); $(".js-view-count[data-work-id=16673452]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16673452; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16673452']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "69114041dce030a9441e716af35082e2" } } $('.js-work-strip[data-work-id=16673452]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16673452,"title":"Switch-specific and general preparation map onto different ERP components in a task-switching paradigm.","internal_url":"https://www.academia.edu/16673452/Switch_specific_and_general_preparation_map_onto_different_ERP_components_in_a_task_switching_paradigm","owner_id":32572558,"coauthors_can_edit":true,"owner":{"id":32572558,"first_name":"Andrew","middle_initials":"","last_name":"Heathcote","page_name":"AndrewHeathcote","domain_name":"utas","created_at":"2015-06-26T15:12:28.505-07:00","display_name":"Andrew Heathcote","url":"https://utas.academia.edu/AndrewHeathcote"},"attachments":[{"id":39112234,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39112234/thumbnails/1.jpg","file_name":"Switch-specific_and_general_preparation_map_onto_different_ERP_components_in_a_task-switching_paradigm.pdf","download_url":"https://www.academia.edu/attachments/39112234/download_file","bulk_download_file_name":"Switch_specific_and_general_preparation.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39112234/Switch-specific_and_general_preparation_map_onto_different_ERP_components_in_a_task-switching_paradigm-libre.pdf?1444611720=\u0026response-content-disposition=attachment%3B+filename%3DSwitch_specific_and_general_preparation.pdf\u0026Expires=1739826316\u0026Signature=JeUc70s4xKh6~Gqeq4KEQXL5ZDo7WVIPmE4TZ~FwVegzvbK0~C9dU8Q6Fqgp~YRIe4sJdfQiwlg4kuHJXssCHq3f9z2ss9pC-WcbYkJgirLb1pOO7NwALUU3xXddvl-KBOcqJRkFIUefPNBP6GhkkSbFHSCug-iB~-WlydJG53w~wsJcok2BcNkm33NvUw7jN-yrKFxemu~OiKoI-THIOOmV2bRtf4EbtLiQUAhCik5I~T1dYH9oYcWnlAWH2ZYwLjVsA3l3Y2ntbqQTMLbljb0aHx6lQlIBTOpFLYANTQn2h4LeMis7mIIes1lCJxvT86bmpSvY~1deAFxHCYLaNg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="16672927"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/16672927/Anodal_tDCS_over_the_Motor_Cortex_on_Prepared_and_Unprepared_Responses_in_Young_Adults"><img alt="Research paper thumbnail of Anodal tDCS over the Motor Cortex on Prepared and Unprepared Responses in Young Adults." class="work-thumbnail" src="https://attachments.academia-assets.com/39111955/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/16672927/Anodal_tDCS_over_the_Motor_Cortex_on_Prepared_and_Unprepared_Responses_in_Young_Adults">Anodal tDCS over the Motor Cortex on Prepared and Unprepared Responses in Young Adults.</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://newcastle-au.academia.edu/FriniKarayanidis">Frini Karayanidis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://utas.academia.edu/AndrewHeathcote">Andrew Heathcote</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Anodal transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) has been...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Anodal transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) has been proposed as a possible therapeutic rehabilitation technique for motor impairment. However, despite extensive investigation into the effects of anodal tDCS on motor output, there is little information on how anodal tDCS affects response processes. In this study, we used a cued go/nogo task with both directional and non-directional cues to assess the effects of anodal tDCS over the dominant (left) primary motor cortex on prepared and unprepared motor responses. Three experiments explored whether the effectiveness of tDCS varied with timing between stimulation and test. Healthy, right-handed young adults participated in a double-blind randomised controlled design with crossover of anodal tDCS and sham stimulation. In Experiment 1, twenty-four healthy young adults received anodal tDCS over dominant M1 at least 40 mins before task performance. In Experiment 2, eight participants received anodal tDCS directly before task performance. In Experiment 3, twenty participants received anodal tDCS during task performance. In all three experiments, participants responded faster to directional compared to non-directional cues and with their right hand. However, anodal tDCS had no effect on go/nogo task performance at any stimulation test interval. Bayesian analysis confirmed that anodal stimulation had no effect on response speed. We conclude that anodal tDCS over M1 does not improve response speed of prepared or unprepared responses of young adults in a go/nogo task.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f416f7877242f90a87e87b370375e504" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":39111955,"asset_id":16672927,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/39111955/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="16672927"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="16672927"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 16672927; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=16672927]").text(description); $(".js-view-count[data-work-id=16672927]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 16672927; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='16672927']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f416f7877242f90a87e87b370375e504" } } $('.js-work-strip[data-work-id=16672927]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":16672927,"title":"Anodal tDCS over the Motor Cortex on Prepared and Unprepared Responses in Young Adults.","internal_url":"https://www.academia.edu/16672927/Anodal_tDCS_over_the_Motor_Cortex_on_Prepared_and_Unprepared_Responses_in_Young_Adults","owner_id":32572558,"coauthors_can_edit":true,"owner":{"id":32572558,"first_name":"Andrew","middle_initials":"","last_name":"Heathcote","page_name":"AndrewHeathcote","domain_name":"utas","created_at":"2015-06-26T15:12:28.505-07:00","display_name":"Andrew Heathcote","url":"https://utas.academia.edu/AndrewHeathcote"},"attachments":[{"id":39111955,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/39111955/thumbnails/1.jpg","file_name":"Anodal_tDCS_over_the_Motor_Cortex_on_Prepared_and_Unprepared_Responses_in_Young_Adults..pdf","download_url":"https://www.academia.edu/attachments/39111955/download_file","bulk_download_file_name":"Anodal_tDCS_over_the_Motor_Cortex_on_Pre.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/39111955/Anodal_tDCS_over_the_Motor_Cortex_on_Prepared_and_Unprepared_Responses_in_Young_Adults.-libre.pdf?1444610026=\u0026response-content-disposition=attachment%3B+filename%3DAnodal_tDCS_over_the_Motor_Cortex_on_Pre.pdf\u0026Expires=1739826316\u0026Signature=cRkOoCCUlkD2tRZx2YxBCGA0tDbUm3g0WEsRsQrbou5PQDWpGt0O2x6qthKnUhvECi83F0jGD6csuKEHIY2eTLylUtyfAo5a3t5zUtapR2uIWUobEJqnQRcoolTJQHaX6tR4~uoQfGnBKwGCHOkoT9Isj8s65aBZ9kiRN7XU4zvgXj7jXmmbfWCdfta3vgNnK5x3o7QY5xvuz4OVE3uoLAahN2Q0qF5MBOXfVfHSFr05pNF-mpKHKNZqCIxbZGY3EUEqcyJ5aEu3TAFqjEwnN6Rjmj8SUTYgH5EKnV4XA8a~7U2MjFFCupxRNvDT~ZFhPgi23lMxjCt9PTmTyDnp4g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067945"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067945/An_exploration_of_varieties_of_visual_attention_ERP_findings"><img alt="Research paper thumbnail of An exploration of varieties of visual attention: ERP findings" class="work-thumbnail" src="https://attachments.academia-assets.com/49463238/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067945/An_exploration_of_varieties_of_visual_attention_ERP_findings">An exploration of varieties of visual attention: ERP findings</a></div><div class="wp-workCard_item"><span>Cognitive Brain Research</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A set of five tasks was designed to examine dynamic aspects of visual attention: selective attent...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A set of five tasks was designed to examine dynamic aspects of visual attention: selective attention to color, selective attention to pattern, dividing and switching attention between color and pattern, and selective attention to pattern with changing target. These varieties of visual attention were examined using the same set of stimuli under different instruction sets; thus differences between tasks cannot be attributed to differences in the perceptual features of the stimuli. ERP data are presented for each of these tasks. A within-task analysis of Ž . different stimulus types varying in similarity to the attended target feature revealed that an early frontal selection positivity FSP was evident in selective attention tasks, regardless of whether color was the attended feature. The scalp distribution of a later posterior Ž . selection negativity SN was affected by whether the attended feature was color or pattern. The SN was largely unaffected by dividing attention across color and pattern. A large widespread positivity was evident in most conditions, consisting of at least three subcomponents which were differentially affected by the attention conditions. These findings are discussed in relation to prior research and the time course of visual attention processes in the brain. q 0926-6410r99r$ -see front matter q 1999 Elsevier Science B.V. All rights reserved.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="94105a202915219194f1f548b833987e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463238,"asset_id":5067945,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463238/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067945"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067945"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067945; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067944"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067944/Human_brain_regions_required_for_the_dividing_and_switching_of_attention_between_two_features_of_a_single_object"><img alt="Research paper thumbnail of Human brain regions required for the dividing and switching of attention between two features of a single object" class="work-thumbnail" src="https://attachments.academia-assets.com/49463226/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067944/Human_brain_regions_required_for_the_dividing_and_switching_of_attention_between_two_features_of_a_single_object">Human brain regions required for the dividing and switching of attention between two features of a single object</a></div><div class="wp-workCard_item"><span>Cognitive Brain Research</span><span>, 2003</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="834d64f21efc1c10151a8ba7b75f6580" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463226,"asset_id":5067944,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463226/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067944"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067944"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067944; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067944]").text(description); $(".js-view-count[data-work-id=5067944]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067944; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067944']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067943"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/5067943/Frontal_processing_negativity_in_a_visual_selective_attention_task"><img alt="Research paper thumbnail of Frontal processing negativity in a visual selective attention task" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/5067943/Frontal_processing_negativity_in_a_visual_selective_attention_task">Frontal processing negativity in a visual selective attention task</a></div><div class="wp-workCard_item"><span>Electroencephalography and Clinical Neurophysiology</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The auditory processing negativity has been associated with the maintenance of an internal repres...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The auditory processing negativity has been associated with the maintenance of an internal representation of context and has been shown to be dependent on the integrity of the prefrontal cortex. Previous visual selective attention studies have failed to show consistent evidence of a frontal processing negativity. The present study employed a multi-dimensional visual selective attention task, modelled after Hillyard and Munte (Percept. Psychophys., 1984, 36: 185-198). Subjects responded to infrequent target stimuli of a particular location, color and height combination, while ignoring all stimuli differing from the target on any of these dimensions. Consistent with previous literature, at posterior sites, location selection resulted in enhancement of P1 and N1 amplitude, followed by color selection within the attended location at around 200 ms. These effects were most pronounced contralaterally. However, unlike previous studies, a large prolonged processing negativity was evident at all frontal sites. This effect involved three components, an early frontally negative component peaking around the N1, a frontocentral negativity maximal at 300 ms and a long-lasting widespread negativity beginning after 500 ms. Processing of location preceded the onset of color and location/color conjunction processing, suggesting hierarchical stimulus feature analysis. However, at posterior temporal sites there was evidence of parallel color processing in the unattended location.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067943"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067943"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067943; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067943]").text(description); $(".js-view-count[data-work-id=5067943]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067943; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067943']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5067943]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5067943,"title":"Frontal processing negativity in a visual selective attention task","internal_url":"https://www.academia.edu/5067943/Frontal_processing_negativity_in_a_visual_selective_attention_task","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067942"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/5067942/The_spatial_and_temporal_dynamics_of_anticipatory_preparation_and_response_inhibition_in_task_switching"><img alt="Research paper thumbnail of The spatial and temporal dynamics of anticipatory preparation and response inhibition in task-switching" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/5067942/The_spatial_and_temporal_dynamics_of_anticipatory_preparation_and_response_inhibition_in_task_switching">The spatial and temporal dynamics of anticipatory preparation and response inhibition in task-switching</a></div><div class="wp-workCard_item"><span>Neuroimage</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We investigated ERP and fMRI correlates of anticipatory preparation and response inhibition in a ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We investigated ERP and fMRI correlates of anticipatory preparation and response inhibition in a cued task-switching paradigm with informatively cued, non-informatively cued and no-go trials. Cue-locked ERPs showed evidence for a multicomponent preparation process. An early cue-locked differential positivity was larger for informative vs. non-informative cues and its amplitude correlated with differential activity for informatively vs. non-informatively cued trials in the dorsolateral prefrontal cortex (DLPFC), consistent with a goal activation process. A later differential positivity was larger for informatively cued switch vs. repeat trials and its amplitude correlated with informatively cued switch vs. repeat activity in the posterior parietal cortex (PPC), compatible with a category-response (C-R) rule activation process. No-go trials elicited a frontal P3, whose amplitude was negatively correlated with activity in the ventrolateral prefrontal cortex (VLPFC) and basal ganglia motor network, suggesting that a network responsible for response execution was inhibited in the course of a no-go trial. These findings indicate that anticipatory preparation in task-switching is comprised of at least two processes: goal activation and C-R rule activation. They also support a functional dissociation between DLPFC and VLPFC, with the former involved in top-down biasing and the latter involved in response inhibition.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067942"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067942"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067942; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067942]").text(description); $(".js-view-count[data-work-id=5067942]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067942; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067942']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5067942]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5067942,"title":"The spatial and temporal dynamics of anticipatory preparation and response inhibition in task-switching","internal_url":"https://www.academia.edu/5067942/The_spatial_and_temporal_dynamics_of_anticipatory_preparation_and_response_inhibition_in_task_switching","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067940"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067940/The_effect_of_clozapine_therapy_on_psychometric_and_event_related_potential_ERP_measures_on_cognitive_dysfunction_in_schizophrenia"><img alt="Research paper thumbnail of The effect of clozapine therapy on psychometric and event-related potential (ERP) measures on cognitive dysfunction in schizophrenia" class="work-thumbnail" src="https://attachments.academia-assets.com/49463230/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067940/The_effect_of_clozapine_therapy_on_psychometric_and_event_related_potential_ERP_measures_on_cognitive_dysfunction_in_schizophrenia">The effect of clozapine therapy on psychometric and event-related potential (ERP) measures on cognitive dysfunction in schizophrenia</a></div><div class="wp-workCard_item"><span>Schizophrenia Research</span><span>, 1995</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">MDL 100 907 is a selective 5-HT2A receptor antagonist under development for the treatment of schi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">MDL 100 907 is a selective 5-HT2A receptor antagonist under development for the treatment of schizophrenia. In addition to its efficacy in animal models of hyperdopaminergic function, MDL 100907 has recently been reported to antagonize both MK-801-induced increases in A10 cell firing and locomotor behavior. The present study examined the effect of MDL</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8090928a2460ee98ba6b16e599bcc978" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463230,"asset_id":5067940,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463230/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067940"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067940"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067940; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067939"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067939/The_Potential_for_New_Understandings_of_Normal_and_Abnormal_Cognition_by_Integration_of_Neuroimaging_and_Behavioral_Data_Not_an_Exercise_in_Carrying_Coals_to_Newcastle"><img alt="Research paper thumbnail of The Potential for New Understandings of Normal and Abnormal Cognition by Integration of Neuroimaging and Behavioral Data: Not an Exercise in Carrying Coals to Newcastle" class="work-thumbnail" src="https://attachments.academia-assets.com/49463229/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067939/The_Potential_for_New_Understandings_of_Normal_and_Abnormal_Cognition_by_Integration_of_Neuroimaging_and_Behavioral_Data_Not_an_Exercise_in_Carrying_Coals_to_Newcastle">The Potential for New Understandings of Normal and Abnormal Cognition by Integration of Neuroimaging and Behavioral Data: Not an Exercise in Carrying Coals to Newcastle</a></div><div class="wp-workCard_item"><span>Brain Imaging and Behavior</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Discovering the means to prevent and cure schizophrenia is a vision that motivates many scientist...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Discovering the means to prevent and cure schizophrenia is a vision that motivates many scientists. But in order to achieve this goal, we need to understand its neurobiological basis. The emergent metadiscipline of cognitive neuroscience fields an impressive array of tools that can be marshaled towards achieving this goal, including powerful new methods of imaging the brain (both structural and functional) as well as assessments of perceptual and cognitive capacities based on psychophysical procedures, experimental tasks and models developed by cognitive science. We believe that the integration of data from this array of tools offers the greatest possibilities and potential for advancing understanding of the neural basis of not only normal cognition but also the cognitive impairments that are fundamental to schizophrenia. Since sufficient expertise in the application of these tools and methods rarely reside in a single individual, or even a single laboratory, collaboration is a key element in this endeavor. Here, we review some of the products of our integrative efforts in collaboration with our colleagues on the East Coast of Australia and Pacific Rim. This research focuses on the neural basis of executive function deficits and impairments in early auditory processing in patients using various combinations of performance indices (from perceptual and cognitive paradigms), ERPs, fMRI and sMRI. In each case, integration of two or more sources of information provides more information than any one source alone by revealing new insights into structure-function relationships. Furthermore, the addition of other imaging methodologies (such as DTI) and approaches (such as computational models of cognition) offers new horizons in human brain imaging research and in understanding human behavior.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d30ad31c00ff15b8b445d6e379228fcc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463229,"asset_id":5067939,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463229/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067939"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067939"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067939; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5067939]").text(description); $(".js-view-count[data-work-id=5067939]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5067939; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5067939']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d30ad31c00ff15b8b445d6e379228fcc" } } $('.js-work-strip[data-work-id=5067939]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5067939,"title":"The Potential for New Understandings of Normal and Abnormal Cognition by Integration of Neuroimaging and Behavioral Data: Not an Exercise in Carrying Coals to Newcastle","internal_url":"https://www.academia.edu/5067939/The_Potential_for_New_Understandings_of_Normal_and_Abnormal_Cognition_by_Integration_of_Neuroimaging_and_Behavioral_Data_Not_an_Exercise_in_Carrying_Coals_to_Newcastle","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[{"id":49463229,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49463229/thumbnails/1.jpg","file_name":"The_Potential_for_New_Understandings_of_20161008-23098-5dei4h.pdf","download_url":"https://www.academia.edu/attachments/49463229/download_file","bulk_download_file_name":"The_Potential_for_New_Understandings_of.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49463229/The_Potential_for_New_Understandings_of_20161008-23098-5dei4h-libre.pdf?1475976883=\u0026response-content-disposition=attachment%3B+filename%3DThe_Potential_for_New_Understandings_of.pdf\u0026Expires=1739826316\u0026Signature=c6IP8~kmaZ~iegC~KYMWmYv9rYD2yDIPbF9seNQqwp67VGeep0FG3k704QwCKSGuwSEL07KzDLsCZrfvqPHLcHKGFxzTL0XdTo7ILjnY5MA3EokdBfiUtiTZBYfor-L~0ghw4JEKbquF8Fu~RTuVvc1Ul-n2ILfdja-sUvnn1uX0~gwKthxIgho31ljkl9D2HuAHdXRNyxnooLyLt1vAjCvMaJjn-IzIsE8nrD1yj3sdUvEZQu0WlM3fChqUIqSgsZnmPhRinUgetU6Nwh~mwsjjobtelnFqnlcPko1j0A3l34FG2y6HzY9ascHLfXaVKvnauMuBkJNDfSBugVGIxg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067938"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067938/Evidence_of_visual_processing_negativity_with_attention_to_orientation_and_color_in_central_space"><img alt="Research paper thumbnail of Evidence of visual processing negativity with attention to orientation and color in central space" class="work-thumbnail" src="https://attachments.academia-assets.com/49463227/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067938/Evidence_of_visual_processing_negativity_with_attention_to_orientation_and_color_in_central_space">Evidence of visual processing negativity with attention to orientation and color in central space</a></div><div class="wp-workCard_item"><span>Electroencephalography and Clinical Neurophysiology</span><span>, 1997</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aim of this study was to determine whether the visual frontal processing negativity reported ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The aim of this study was to determine whether the visual frontal processing negativity reported in our earlier paper (Karayanidis, F. and Michie, P.T. Electroenceph. clin. Neurophysiol., 1996, 99: 38-56) is related to selection of spatial location, or occurs regardless of the stimulus features used to define the target. Subjects were instructed to respond to infrequent target stimuli of a particular combination of orientation, color and size. All stimuli were presented at central fixation. Posteriorly, orientation selection enhanced P125 amplitude over the right hemisphere but neither orientation nor color selection had an effect on N190. Posterior selection negativities emerged for orientation, color and their conjunction. At anterior sites, widespread effects of orientation and color processing were evident. The effect of location selection on the anterior Nl seen in our previous study was not evident with orientation selection. Instead, selection of orientation, color and their conjunction resulted in PI455250 frontally. Two later anterior negativities emerged. The early negativity (vPNe) was affected independently by orientation and color selection while the late negativity (vPN1) was affected only by selection of feature conjunction. Thus, the present results show that, like its auditory counterpart, the visual processing negativity occurs with a variety of stimulus classification features and is not exclusively related to spatial selection. 0 1997 Elsevier Science Ireland Ltd.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="18f02cf55eac35de6e4424caa4ad40ed" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463227,"asset_id":5067938,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463227/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067938"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067938"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067938; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "18f02cf55eac35de6e4424caa4ad40ed" } } $('.js-work-strip[data-work-id=5067938]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5067938,"title":"Evidence of visual processing negativity with attention to orientation and color in central space","internal_url":"https://www.academia.edu/5067938/Evidence_of_visual_processing_negativity_with_attention_to_orientation_and_color_in_central_space","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[{"id":49463227,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49463227/thumbnails/1.jpg","file_name":"s0013-4694_2897_2996077-620161008-28667-1txj9ye.pdf","download_url":"https://www.academia.edu/attachments/49463227/download_file","bulk_download_file_name":"Evidence_of_visual_processing_negativity.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49463227/s0013-4694_2897_2996077-620161008-28667-1txj9ye-libre.pdf?1475976898=\u0026response-content-disposition=attachment%3B+filename%3DEvidence_of_visual_processing_negativity.pdf\u0026Expires=1739826316\u0026Signature=cFju2ajILEbcY-lUlvZp5Sd5R5cuznyIBUX-ZRBzQrV~w3ONCXry4SFYUkPrLDK-53gBi6tToNifqHPXYMNNrJTyYMFQSzIJtPGNX-5MG~j~YHuGFxnDLhbHsM5hJh1sSEgCX4SG68r5JQn44K~xKoGdlMPSdBYrBDO-hCqKMBHq4kBnWxCSQx-vJQK1-sQ5jenR1ehgoFGPFmr58ASZ3lSxpIV4E9Wu2ITC0uE2zuc4uEuLy~PlDxU7iReS62JZNYVre6moWES86vfWlbB7L2IrfnouNjbRi6dvjadQUjhiv6YvczAUTDIXmhmXepqjfJzGVLC0XP52REGEpVID4g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5067937"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5067937/Components_of_task_set_reconfiguration_Differential_effects_of_switch_to_and_switch_away_cues"><img alt="Research paper thumbnail of Components of task-set reconfiguration: Differential effects of ‘ switch-to’ and ‘ switch-away’ cues" class="work-thumbnail" src="https://attachments.academia-assets.com/49463232/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5067937/Components_of_task_set_reconfiguration_Differential_effects_of_switch_to_and_switch_away_cues">Components of task-set reconfiguration: Differential effects of ‘ switch-to’ and ‘ switch-away’ cues</a></div><div class="wp-workCard_item"><span>Brain Research</span><span>, 2006</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Preparation for a switch in task was manipulated using two types of switch cues: 'switchaway' fro...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Preparation for a switch in task was manipulated using two types of switch cues: 'switchaway' from the previous task-set and 'switch-to' a different task-set. Increasing cue-stimulus interval resulted in a reduction in reaction time switch cost for switch-to trials only. Cuelocked difference waveforms for both switch-to and switch-away trials showed a large, broad differential positivity, relative to repeat waveforms. However, the later part of the differential positivity was significantly reduced on switch-away trials. A differential positivity then emerged after stimulus onset for switch-away trials only. This suggests that, with a long cue-stimulus interval, the new task-set was implemented before stimulus onset for switch-to trials, whereas on switch-away trials this process was delayed until after stimulus onset leading to increased switch cost. These results demonstrate dissociable effects of switching away from the current task-set and switching to the upcoming task-set and support the interpretation that the differential positivity observed for switch-to trials reflects processes associated with anticipatory task-set reconfiguration.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ec5bfc808500c540f2a81e71b1c6bcfc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49463232,"asset_id":5067937,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49463232/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5067937"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5067937"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5067937; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828538"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/2828538/Variability_in_proactive_and_reactive_cognitive_control_processes_across_the_adult_lifespan"><img alt="Research paper thumbnail of Variability in proactive and reactive cognitive control processes across the adult lifespan" class="work-thumbnail" src="https://attachments.academia-assets.com/32379468/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/2828538/Variability_in_proactive_and_reactive_cognitive_control_processes_across_the_adult_lifespan">Variability in proactive and reactive cognitive control processes across the adult lifespan</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Task-switching paradigms produce a highly consistent age-related increase in mixing cost...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Task-switching paradigms produce a highly consistent age-related increase in mixing cost [longer response time (RT) on repeat trials in mixed-task than single-task blocks] but a less consistent age effect on switch cost (longer RT on switch than repeat trials in mixed-task blocks).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="09f0324654efbab21f3852b0c49c2169" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":32379468,"asset_id":2828538,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/32379468/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828538"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828538"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828538; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2828538]").text(description); $(".js-view-count[data-work-id=2828538]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2828538; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='2828538']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828533"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/2828533/Facial_emotion_and_identity_processing_development_in_5_to_15_year_old_children"><img alt="Research paper thumbnail of Facial emotion and identity processing development in 5-to 15-year-old children" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/2828533/Facial_emotion_and_identity_processing_development_in_5_to_15_year_old_children">Facial emotion and identity processing development in 5-to 15-year-old children</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Most developmental studies of emotional face processing to date have focused on infants ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Most developmental studies of emotional face processing to date have focused on infants and very young children. Additionally, studies that examine emotional face processing in older children do not distinguish development in emotion and identity face processing from more generic age-related cognitive improvement. In this study, we developed a paradigm that measures processing of facial expression in comparison to facial identity and complex visual stimuli.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828533"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828533"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828533; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2828533]").text(description); $(".js-view-count[data-work-id=2828533]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2828533; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='2828533']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=2828533]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":2828533,"title":"Facial emotion and identity processing development in 5-to 15-year-old children","internal_url":"https://www.academia.edu/2828533/Facial_emotion_and_identity_processing_development_in_5_to_15_year_old_children","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828527"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/2828527/Adjustments_of_Response_Threshold_during_Task_Switching_A_Model_Based_Functional_Magnetic_Resonance_Imaging_Study"><img alt="Research paper thumbnail of Adjustments of Response Threshold during Task Switching: A Model-Based Functional Magnetic Resonance Imaging Study" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/2828527/Adjustments_of_Response_Threshold_during_Task_Switching_A_Model_Based_Functional_Magnetic_Resonance_Imaging_Study">Adjustments of Response Threshold during Task Switching: A Model-Based Functional Magnetic Resonance Imaging Study</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Adjustment of response threshold for speed compared with accuracy instructions in two-ch...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Adjustment of response threshold for speed compared with accuracy instructions in two-choice decision-making tasks is associated with activation in the fronto-striatal network, including the pre-supplementary motor area (pre-SMA) and striatum (Forstmann et al., 2008). In contrast, increased response conservativeness is associated with activation of the subthalamic nucleus (STN)(Frank et al., 2007).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828527"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828527"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828527; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2828527]").text(description); $(".js-view-count[data-work-id=2828527]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2828527; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='2828527']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=2828527]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":2828527,"title":"Adjustments of Response Threshold during Task Switching: A Model-Based Functional Magnetic Resonance Imaging Study","internal_url":"https://www.academia.edu/2828527/Adjustments_of_Response_Threshold_during_Task_Switching_A_Model_Based_Functional_Magnetic_Resonance_Imaging_Study","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828523"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/2828523/Combining_ERP_and_fMRI_data_in_the_study_of_cognitive_control"><img alt="Research paper thumbnail of Combining ERP and fMRI data in the study of cognitive control" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/2828523/Combining_ERP_and_fMRI_data_in_the_study_of_cognitive_control">Combining ERP and fMRI data in the study of cognitive control</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Cognitive neuroscientists use a wide range of neuroscientific methods to understand the neural ba...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Cognitive neuroscientists use a wide range of neuroscientific methods to understand the neural bases of perceptual and cognitive processes. Two of the most commonly used techniques are event-related potentials (ERPs) and functional magnetic resonance imaging (fMRI). Each technique possesses unique advantages and disadvantages that affect the types of research questions that it is best suited to address.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828523"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828523"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828523; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2828523]").text(description); 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=2828523]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":2828523,"title":"Combining ERP and fMRI data in the study of cognitive control","internal_url":"https://www.academia.edu/2828523/Combining_ERP_and_fMRI_data_in_the_study_of_cognitive_control","owner_id":116740,"coauthors_can_edit":true,"owner":{"id":116740,"first_name":"Frini","middle_initials":null,"last_name":"Karayanidis","page_name":"FriniKarayanidis","domain_name":"newcastle-au","created_at":"2010-01-17T08:24:23.326-08:00","display_name":"Frini Karayanidis","url":"https://newcastle-au.academia.edu/FriniKarayanidis"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2828517"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/2828517/The_potential_for_new_understandings_of_normal_and_abnormal_cognition_by_integration_of_neuroimaging_and_behavioral_data_not_an_exercise_in_carrying_coals_to_Newcastle"><img alt="Research paper thumbnail of The potential for new understandings of normal and abnormal cognition by integration of neuroimaging and behavioral data: not an exercise in carrying coals to Newcastle" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/2828517/The_potential_for_new_understandings_of_normal_and_abnormal_cognition_by_integration_of_neuroimaging_and_behavioral_data_not_an_exercise_in_carrying_coals_to_Newcastle">The potential for new understandings of normal and abnormal cognition by integration of neuroimaging and behavioral data: not an exercise in carrying coals to Newcastle</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract Discovering the means to prevent and cure schizophrenia is a vision that motivates many ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract Discovering the means to prevent and cure schizophrenia is a vision that motivates many scientists. But in order to achieve this goal, we need to understand its neurobiological basis.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8654b8a0897ea455e2140e53510e0b72" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":30776954,"asset_id":2828517,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/30776954/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="2828517"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="2828517"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2828517; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1117245"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1117245/Karayanidis_F_Whitson_L_R_Heathcote_A_Michie_P_2011_Variability_in_preparatory_and_target_driven_cognitive_control_processes_across_the_adult_lifespan_Front_Psychology_2_318_doi_10_3389_fpsyg_2011_00318"><img alt="Research paper thumbnail of Karayanidis, F., Whitson, L.R., Heathcote, A., Michie, P. (2011). Variability in preparatory and target-driven cognitive control processes across the adult lifespan. Front.Psychology 2:318. doi: 10.3389/fpsyg.2011.00318" class="work-thumbnail" src="https://attachments.academia-assets.com/6880708/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1117245/Karayanidis_F_Whitson_L_R_Heathcote_A_Michie_P_2011_Variability_in_preparatory_and_target_driven_cognitive_control_processes_across_the_adult_lifespan_Front_Psychology_2_318_doi_10_3389_fpsyg_2011_00318">Karayanidis, F., Whitson, L.R., Heathcote, A., Michie, P. (2011). Variability in preparatory and target-driven cognitive control processes across the adult lifespan. Front.Psychology 2:318. doi: 10.3389/fpsyg.2011.00318</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Task-switching paradigms produce a highly consistent age-related increase in mixing cost [longer ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Task-switching paradigms produce a highly consistent age-related increase in mixing cost [longer response time (RT) on repeat trials in mixed-task than single-task blocks] but a less consistent age effect on switch cost (longer RT on switch than repeat trials in mixedtask blocks). We use two approaches to examine the adult lifespan trajectory of control processes contributing to mixing cost and switch cost: latent variables derived from an evidence accumulation model of choice, and event-related potentials (ERP) that temporally differentiate proactive (cue-driven) and reactive (target-driven) control processes. Under highly practiced and prepared task conditions, aging was associated with increasing RT mixing cost but reducing RT switch cost. Both effects were largely due to the same cause: an age effect for mixed-repeat trials. In terms of latent variables, increasing age was associated with slower non-decision processes, slower rate of evidence accumulation about the target, and higher response criterion. Age effects on mixing costs were evident only on response criterion, the amount of evidence required to trigger a decision, whereas age effects on switch cost were present for all three latent variables. ERPs showed age-related increases in preparation for mixed-repeat trials, anticipatory attention, and post-target interference. Cue-locked ERPs that are linked to proactive control were associated with early emergence of age differences in response criterion. These results are consistent with age effects on strategic processes controlling decision caution. Consistent with an agerelated decline in cognitive flexibility, younger adults flexibly adjusted response criterion from trial-to-trial on mixed-task blocks, whereas older adults maintained a high criterion for all trials.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ceb4c024e3bc1504274000662bd5449f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":6880708,"asset_id":1117245,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/6880708/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1117245"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1117245"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1117245; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1117245]").text(description); $(".js-view-count[data-work-id=1117245]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1117245; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1117245']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ceb4c024e3bc1504274000662bd5449f" } } $('.js-work-strip[data-work-id=1117245]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1117245,"title":"Karayanidis, F., Whitson, L.R., Heathcote, A., Michie, P. 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