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id="Papers"><h3 class="profile--tab_heading_container">Papers by Risto Ilmoniemi</h3></div><div class="js-work-strip profile--work_container" data-work-id="32994918"><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/32994918/Memory_Traces_for_Words_as_Revealed_by_the_Mismatch_Negativity"><img alt="Research paper thumbnail of Memory Traces for Words as Revealed by the Mismatch Negativity" class="work-thumbnail" src="https://attachments.academia-assets.com/53111355/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/32994918/Memory_Traces_for_Words_as_Revealed_by_the_Mismatch_Negativity">Memory Traces for Words as Revealed by the Mismatch Negativity</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://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://helsinki.academia.edu/JaanaSimola">Jaana Simola</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FriedemannPulverm%C3%BCller">Friedemann Pulvermüller</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RN%C3%A4%C3%A4t%C3%A4nen">R Näätänen</a></span></div><div class="wp-workCard_item"><span>NeuroImage</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fbe38da16e08253282efffe002392031" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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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/5155670/Visual_cortex_activation_in_blind_humans_during_sound_discrimination">Visual cortex activation in blind humans during sound discrimination</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://utu.academia.edu/MinnaHuotilainen">Minna Huotilainen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/TeijaKujala">Teija Kujala</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/KimmoAlho">Kimmo Alho</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a></span></div><div class="wp-workCard_item"><span>Neuroscience Letters</span><span>, 1995</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We used a whole-scalp magnetometer with 122 planar gradiometers to study the activity of the visu...</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 used a whole-scalp magnetometer with 122 planar gradiometers to study the activity of the visual cortex of five blind humans deprived of visual input since early infancy. Magnetic responses were recorded to pitch changes in a sound sequence when the subjects were either counting these changes or ignoring the stimuli. In two of the blind subjects, magnetic resonance images were also obtained, showing normal visual cortex macroanatomy. In these subjects, the magnetic responses to counted pitch changes were located at visual and temporal cortices whereas ignored pitch changes activated the temporal cortices almost exclusively. Also in two of the other three blind, the visual-cortex activation was detectable in the auditory counting task. Our results suggest that the visual cortex of blind humans can participate in auditory discrimination.</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="5155670"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5155670"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5155670; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5155670]").text(description); $(".js-view-count[data-work-id=5155670]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5155670; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5155670']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5155670, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=5155670]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5155670,"title":"Visual cortex activation in blind humans during sound discrimination","translated_title":"","metadata":{"abstract":"We used a whole-scalp magnetometer with 122 planar gradiometers to study the activity of the visual cortex of five blind humans deprived of visual input since early infancy. Magnetic responses were recorded to pitch changes in a sound sequence when the subjects were either counting these changes or ignoring the stimuli. In two of the blind subjects, magnetic resonance images were also obtained, showing normal visual cortex macroanatomy. In these subjects, the magnetic responses to counted pitch changes were located at visual and temporal cortices whereas ignored pitch changes activated the temporal cortices almost exclusively. Also in two of the other three blind, the visual-cortex activation was detectable in the auditory counting task. Our results suggest that the visual cortex of blind humans can participate in auditory discrimination.","publication_date":{"day":null,"month":null,"year":1995,"errors":{}},"publication_name":"Neuroscience Letters"},"translated_abstract":"We used a whole-scalp magnetometer with 122 planar gradiometers to study the activity of the visual cortex of five blind humans deprived of visual input since early infancy. Magnetic responses were recorded to pitch changes in a sound sequence when the subjects were either counting these changes or ignoring the stimuli. In two of the blind subjects, magnetic resonance images were also obtained, showing normal visual cortex macroanatomy. In these subjects, the magnetic responses to counted pitch changes were located at visual and temporal cortices whereas ignored pitch changes activated the temporal cortices almost exclusively. Also in two of the other three blind, the visual-cortex activation was detectable in the auditory counting task. Our results suggest that the visual cortex of blind humans can participate in auditory discrimination.","internal_url":"https://www.academia.edu/5155670/Visual_cortex_activation_in_blind_humans_during_sound_discrimination","translated_internal_url":"","created_at":"2013-11-19T15:17:58.155-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6968536,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20213617,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":35598202,"co_author_invite_id":null,"email":"m***a@kolumbus.fi","display_order":0,"name":"M. Kajola","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":20213619,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":216795300,"co_author_invite_id":582677,"email":"t***a@helsinki.fi","display_order":4194304,"name":"Teija Kujala","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529517,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":null,"co_author_invite_id":1812231,"email":"j***n@tkk.fi","display_order":6291456,"name":"Janne Sinkkonen","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529518,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":41473431,"co_author_invite_id":null,"email":"h***n@aalto.fi","display_order":7340032,"name":"Hannu Tiitinen","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529519,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":31294835,"co_author_invite_id":null,"email":"k***o@helsinki.fi","display_order":7864320,"name":"Kimmo Alho","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529522,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":35627204,"co_author_invite_id":null,"email":"r***n@helsinki.fi","display_order":8126464,"name":"R Näätänen","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529550,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":8951497,"co_author_invite_id":null,"email":"r***i@aalto.fi","affiliation":"Aalto University","display_order":8257536,"name":"Risto Ilmoniemi","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21928509,"work_id":5155670,"tagging_user_id":8951497,"tagged_user_id":17037818,"co_author_invite_id":null,"email":"m***n@aalto.fi","affiliation":"Aalto University","display_order":8323072,"name":"Matti Hämäläinen","title":"Visual cortex activation in blind humans during sound discrimination"}],"downloadable_attachments":[],"slug":"Visual_cortex_activation_in_blind_humans_during_sound_discrimination","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6968536,"first_name":"Minna","middle_initials":"","last_name":"Huotilainen","page_name":"MinnaHuotilainen","domain_name":"utu","created_at":"2013-11-19T15:17:07.709-08:00","display_name":"Minna Huotilainen","url":"https://utu.academia.edu/MinnaHuotilainen"},"attachments":[],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":5097,"name":"Blindness","url":"https://www.academia.edu/Documents/in/Blindness"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging"},{"id":8088,"name":"Sound","url":"https://www.academia.edu/Documents/in/Sound"},{"id":49962,"name":"Visual Cortex","url":"https://www.academia.edu/Documents/in/Visual_Cortex"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":2428413,"name":"Acoustic Stimulation","url":"https://www.academia.edu/Documents/in/Acoustic_Stimulation"},{"id":2439414,"name":"Magnetic resonance image","url":"https://www.academia.edu/Documents/in/Magnetic_resonance_image"}],"urls":[{"id":1959436,"url":"http://www.sciencedirect.com/science/article/pii/0304394094111356"}]}, 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="5155679"><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/5155679/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI"><img alt="Research paper thumbnail of Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI" class="work-thumbnail" src="https://attachments.academia-assets.com/49425741/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/5155679/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI">Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI</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://utu.academia.edu/MinnaHuotilainen">Minna Huotilainen</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="37127830a61b7b1718858cc163e8a6da" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49425741,"asset_id":5155679,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49425741/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&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="5155679"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5155679"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5155679; 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J. Neurophysiol. 82: 2545-2555. A sudden change in the direction of motion is a particularly salient and relevant feature of visual information. Extensive research has identified cortical areas responsive to visual motion and characterized their sensitivity to different features of motion, such as directional specificity. However, relatively little is known about responses to sudden changes in direction. Electrophysiological data from animals and functional imaging data from humans suggest a number of brain areas responsive to motion, presumably working as a network. Temporal patterns of activity allow the same network to process information in different ways. The present study in humans sought to determine which motion-sensitive areas are involved in processing changes in the direction of motion and to characterize the temporal patterns of processing within this network of brain regions. To accomplish this, we used both magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). The fMRI data were used as supplementary information in the localization of MEG sources. The change in the direction of visual motion was found to activate a number of areas, each displaying a different temporal behavior. The fMRI revealed motionrelated activity in areas MTϩ (the human homologue of monkey middle temporal area and possibly also other motion sensitive areas next to MT), a region near the posterior end of the superior temporal sulcus (pSTS), V3A, and V1/V2. The MEG data suggested additional frontal sources. An equivalent dipole model for the generators of MEG signals indicated activity in MTϩ, starting at 130 ms and peaking at 170 ms after the reversal of the direction of motion, and then again at ϳ260 ms. Frontal activity began 0 -20 ms later than in MTϩ, and peaked ϳ180 ms. Both pSTS and FEFϩ showed longduration activity continuing over the latency range of 200 -400 ms. MEG responses in the region of V3A and V1/V2 were relatively small, and peaked at longer latencies than the initial peak in MTϩ.","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"grobid_abstract_attachment_id":49425741},"translated_abstract":null,"internal_url":"https://www.academia.edu/5155679/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI","translated_internal_url":"","created_at":"2013-11-19T15:18:02.116-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6968536,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":21529555,"work_id":5155679,"tagging_user_id":6968536,"tagged_user_id":null,"co_author_invite_id":595667,"email":"a***u@uchsc.edu","display_order":0,"name":"Arthur Liu","title":"Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI"},{"id":21529556,"work_id":5155679,"tagging_user_id":6968536,"tagged_user_id":36412689,"co_author_invite_id":null,"email":"t***l@nmr.mgh.harvard.edu","display_order":4194304,"name":"R. 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text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5155667/Processing_of_novel_sounds_and_frequency_changes_in_the_human_auditory_cortex_Magnetoencephalographic_recordings">Processing of novel sounds and frequency changes in the human auditory cortex: Magnetoencephalographic recordings</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/EeroPekkonen">Eero Pekkonen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://utu.academia.edu/MinnaHuotilainen">Minna Huotilainen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/KimmoAlho">Kimmo Alho</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://mta.academia.edu/IWinkler">István Winkler</a></span></div><div class="wp-workCard_item"><span>Psychophysiology</span><span>, 1998</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="539b1eddd7cf26e679943f0be3e9c170" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49425750,"asset_id":5155667,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49425750/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&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="5155667"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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Radiology"},"translated_abstract":null,"internal_url":"https://www.academia.edu/26058970/Cortical_Excitability_and_Connectivity_Reflected_in_fMRI_MEG_EEG_and_TMS","translated_internal_url":"","created_at":"2016-06-11T09:40:57.769-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8951497,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Cortical_Excitability_and_Connectivity_Reflected_in_fMRI_MEG_EEG_and_TMS","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":8951497,"first_name":"Risto","middle_initials":null,"last_name":"Ilmoniemi","page_name":"RistoIlmoniemi","domain_name":"aalto-fi","created_at":"2014-02-07T21:32:32.421-08:00","display_name":"Risto Ilmoniemi","url":"https://aalto-fi.academia.edu/RistoIlmoniemi"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); 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href="https://www.academia.edu/26058969/P1049_Non_REM_sleep_microstructures_and_phasic_REM_sleep_events_are_associated_with_intracranial_oxygenation_changes_measured_with_NIRS">P1049: Non-REM sleep microstructures and phasic REM sleep events are associated with intracranial oxygenation changes measured with NIRS</a></div><div class="wp-workCard_item"><span>Clinical Neurophysiology</span><span>, 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c6bb17b1baf0cb54434efed92ec52c7c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46400778,"asset_id":26058969,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46400778/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action 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Autonomic activation and repetitive hypoxia are examples of possible mechanisms mediating this risk. In addition to sleep apnea episodes, non-apneic disruptions in sleep continuity are associated with transitory intracranial hypoxia measured with nearinfrared spectroscopy (NIRS). Some of the K-complexes are triggered by non-waking external auditory stimuli. Phasic rapid-eye-movement (REM) sleep is associated with the activation of the autonomic nervous system and surges in systemic blood pressure. Are these sleep microstructural phenomena associated with changes in intracranial blood oxygenation? Methods: Six healthy volunteers were measured overnight with polysomnography and NIRS for extra-and intracranial blood oxygenation changes. Sleep spindles, K-complexes, and bursts of eye movements in REM sleep were detected. Average temporal changes in oxy-and deoxyhemoglobin triggered by these sleep events were measured. Results: K-complexes triggered short intracranial hemodynamic responses and spindels delayed and longer responses. During and after phasic events in REM sleep, there were transient changes in intracranial blood oxygenation. Conclusions: K-complexes are associated with transient hemodynamic changes in intracranial circulation, which can mediate harmful vascular effects during poor sleep due to noisy environments. Systemic blood pressure surges during phasic REM sleep are counteracted with vasoconstriction in cerebral arteries, leading to transient cerebral hypoperfusion and hypoxia episodes during REM sleep. 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9fb302b0035666aa7a5a0ced0a6e64e5" } } $('.js-work-strip[data-work-id=26058963]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26058963,"title":"Dynamical cancellation of pulse-induced transients in a metallic shielded room for ultra-low-field magnetic resonance imaging","translated_title":"","metadata":{"grobid_abstract":"Pulse-induced transients such as eddy currents can cause problems in measurement techniques where a signal is acquired after an applied preparatory pulse. In ultra-low-field magnetic resonance imaging, performed in magnetic fields typically of the order of 100 mT, the signal-to-noise ratio is enhanced in part by prepolarizing the proton spins with a pulse of much larger magnetic field and in part by detecting the signal with a Superconducting QUantum Interference Device (SQUID). The pulse turn-off, however, can induce large eddy currents in the shielded room, producing an inhomogeneous magnetic-field transient that both seriously distorts the spin dynamics and exceeds the range of the SQUID readout. It is essential to reduce this transient substantially before image acquisition. We introduce dynamical cancellation (DynaCan), a technique in which a precisely designed current waveform is applied to a separate coil during the later part and turn off of the polarizing pulse. This waveform, which bears no resemblance to the polarizing pulse, is designed to drive the eddy currents to zero at the precise moment that the polarizing field becomes zero. We present the theory used to optimize the waveform using a detailed computational model with corrections from measured magnetic-field transients. SQUID-based measurements with DynaCan demonstrate a cancellation of 99%. Dynamical cancellation has the great advantage that, for a given system, the cancellation accuracy can be optimized in software. This technique can be applied to both metal and high-permeability alloy shielded rooms, and even to transients other than eddy currents. V C 2015 AIP Publishing LLC. [http://dx.doi.org/10.1063/1.4906058] Ultra-low-field (ULF) magnetic resonance imaging (MRI) 1-7 operates in a static magnetic field B 0 of typically 50-250 mT, four orders of magnitude weaker than that of clinical MRI machines. ULF MRI has potentially attractive advantages for medical applications. At the corresponding low nuclear magnetic resonance (NMR) frequencies, about 2-10 kHz, the longitudinal relaxation time T 1 is strongly influenced by slow molecular dynamics, enhancing the T 1 contrast between different tissues, 8 for example, tumor and healthy tissue. 9 This sensitivity is related to that observed in T 1q -contrast imaging at high fields, also operating at frequencies of a few kHz, which has been used to monitor progression of Alzheimer's and Parkinson's diseases 10,11 and to determine the elapsed time since a stroke. 12","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Applied Physics Letters","grobid_abstract_attachment_id":46400779},"translated_abstract":null,"internal_url":"https://www.academia.edu/26058963/Dynamical_cancellation_of_pulse_induced_transients_in_a_metallic_shielded_room_for_ultra_low_field_magnetic_resonance_imaging","translated_internal_url":"","created_at":"2016-06-11T09:40:56.148-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8951497,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":46400779,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46400779/thumbnails/1.jpg","file_name":"Dynamical_cancellation_of_pulse-induced_20160611-12365-1t8etoq.pdf","download_url":"https://www.academia.edu/attachments/46400779/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Dynamical_cancellation_of_pulse_induced.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46400779/Dynamical_cancellation_of_pulse-induced_20160611-12365-1t8etoq-libre.pdf?1465663375=\u0026response-content-disposition=attachment%3B+filename%3DDynamical_cancellation_of_pulse_induced.pdf\u0026Expires=1732398979\u0026Signature=a5zdApKLOMrO~anH4ZVXk8WrNaW83Vb4lYZ-zhbpmWOzIUexXiEu9rBERjC1Dvtt4ocGmEN5vOPW-gxm86z4eHy6jLA9xtSvjzYXuF68JaspMf4YZxo6GHWmEpYZmoFRG2h6lDnP0DuckUTPC-TvIZiC7oMNgw8hQHR1Qx5~GgxRHs2i4EyeaWmnUQcKj0V9qraWTw~T3Vye-rbQ35~2aqGUeOWe9HYMa2vdbYbj1pii1XOohhm7-gT~unV0Bs7fWIi1dCzjVPHrATXQ5I6zIQBJoFzgxLatm9LoSjUeQQ72zfSTTq9f06q1WM56IWIe-zBbwmFHoz8dccukzgTuSw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Dynamical_cancellation_of_pulse_induced_transients_in_a_metallic_shielded_room_for_ultra_low_field_magnetic_resonance_imaging","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":8951497,"first_name":"Risto","middle_initials":null,"last_name":"Ilmoniemi","page_name":"RistoIlmoniemi","domain_name":"aalto-fi","created_at":"2014-02-07T21:32:32.421-08:00","display_name":"Risto Ilmoniemi","url":"https://aalto-fi.academia.edu/RistoIlmoniemi"},"attachments":[{"id":46400779,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46400779/thumbnails/1.jpg","file_name":"Dynamical_cancellation_of_pulse-induced_20160611-12365-1t8etoq.pdf","download_url":"https://www.academia.edu/attachments/46400779/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Dynamical_cancellation_of_pulse_induced.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46400779/Dynamical_cancellation_of_pulse-induced_20160611-12365-1t8etoq-libre.pdf?1465663375=\u0026response-content-disposition=attachment%3B+filename%3DDynamical_cancellation_of_pulse_induced.pdf\u0026Expires=1732398979\u0026Signature=a5zdApKLOMrO~anH4ZVXk8WrNaW83Vb4lYZ-zhbpmWOzIUexXiEu9rBERjC1Dvtt4ocGmEN5vOPW-gxm86z4eHy6jLA9xtSvjzYXuF68JaspMf4YZxo6GHWmEpYZmoFRG2h6lDnP0DuckUTPC-TvIZiC7oMNgw8hQHR1Qx5~GgxRHs2i4EyeaWmnUQcKj0V9qraWTw~T3Vye-rbQ35~2aqGUeOWe9HYMa2vdbYbj1pii1XOohhm7-gT~unV0Bs7fWIi1dCzjVPHrATXQ5I6zIQBJoFzgxLatm9LoSjUeQQ72zfSTTq9f06q1WM56IWIe-zBbwmFHoz8dccukzgTuSw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"}],"urls":[]}, dispatcherData: dispatcherData }); 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In rotary scanning acquisition (RSA), data from the imaging object is acquired at multiple angles by rotating the object or the scanner. RSA is similar to radial-trajectory acquisition but simplifies the measurement and image reconstruction when concomitant fields are nonnegligible. RSA was implemented to achieve large FOV with only three localized superconductive quantum interference device (SQUID) sensors at the ULF-MRI field of 50 μT. Simulations suggest benefits of RSA, including reduced concomitant field artifacts, large FOV imaging, and SNR improvement. Experimental data demonstrate the feasibility of reconstructing large FOV images using only three SQUID sensors with 33% of the amount of data collected using a Cartesian trajectory. RSA can be useful in low-field, low-weight, or portable MRI to generate large FOV images with only a few sensors. 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In rotary scanning acquisition (RSA), data from the imaging object is acquired at multiple angles by rotating the object or the scanner. RSA is similar to radial-trajectory acquisition but simplifies the measurement and image reconstruction when concomitant fields are nonnegligible. RSA was implemented to achieve large FOV with only three localized superconductive quantum interference device (SQUID) sensors at the ULF-MRI field of 50 μT. Simulations suggest benefits of RSA, including reduced concomitant field artifacts, large FOV imaging, and SNR improvement. Experimental data demonstrate the feasibility of reconstructing large FOV images using only three SQUID sensors with 33% of the amount of data collected using a Cartesian trajectory. RSA can be useful in low-field, low-weight, or portable MRI to generate large FOV images with only a few sensors. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Magnetic Resonance in Medicine"},"translated_abstract":"To develop a method of achieving large field of view (FOV) imaging with a smaller amount of data in ultra-low-field (ULF) MRI. In rotary scanning acquisition (RSA), data from the imaging object is acquired at multiple angles by rotating the object or the scanner. RSA is similar to radial-trajectory acquisition but simplifies the measurement and image reconstruction when concomitant fields are nonnegligible. RSA was implemented to achieve large FOV with only three localized superconductive quantum interference device (SQUID) sensors at the ULF-MRI field of 50 μT. Simulations suggest benefits of RSA, including reduced concomitant field artifacts, large FOV imaging, and SNR improvement. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="1136881" id="papers"><div class="js-work-strip profile--work_container" data-work-id="32994918"><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/32994918/Memory_Traces_for_Words_as_Revealed_by_the_Mismatch_Negativity"><img alt="Research paper thumbnail of Memory Traces for Words as Revealed by the Mismatch Negativity" class="work-thumbnail" src="https://attachments.academia-assets.com/53111355/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/32994918/Memory_Traces_for_Words_as_Revealed_by_the_Mismatch_Negativity">Memory Traces for Words as Revealed by the Mismatch Negativity</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://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://helsinki.academia.edu/JaanaSimola">Jaana Simola</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FriedemannPulverm%C3%BCller">Friedemann Pulvermüller</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/RN%C3%A4%C3%A4t%C3%A4nen">R Näätänen</a></span></div><div class="wp-workCard_item"><span>NeuroImage</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fbe38da16e08253282efffe002392031" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53111355,"asset_id":32994918,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53111355/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&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="32994918"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="32994918"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32994918; 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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/5155670/Visual_cortex_activation_in_blind_humans_during_sound_discrimination">Visual cortex activation in blind humans during sound discrimination</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://utu.academia.edu/MinnaHuotilainen">Minna Huotilainen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/TeijaKujala">Teija Kujala</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/KimmoAlho">Kimmo Alho</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a></span></div><div class="wp-workCard_item"><span>Neuroscience Letters</span><span>, 1995</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We used a whole-scalp magnetometer with 122 planar gradiometers to study the activity of the visu...</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 used a whole-scalp magnetometer with 122 planar gradiometers to study the activity of the visual cortex of five blind humans deprived of visual input since early infancy. Magnetic responses were recorded to pitch changes in a sound sequence when the subjects were either counting these changes or ignoring the stimuli. In two of the blind subjects, magnetic resonance images were also obtained, showing normal visual cortex macroanatomy. In these subjects, the magnetic responses to counted pitch changes were located at visual and temporal cortices whereas ignored pitch changes activated the temporal cortices almost exclusively. Also in two of the other three blind, the visual-cortex activation was detectable in the auditory counting task. Our results suggest that the visual cortex of blind humans can participate in auditory discrimination.</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="5155670"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5155670"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5155670; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5155670]").text(description); $(".js-view-count[data-work-id=5155670]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5155670; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5155670']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5155670, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=5155670]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5155670,"title":"Visual cortex activation in blind humans during sound discrimination","translated_title":"","metadata":{"abstract":"We used a whole-scalp magnetometer with 122 planar gradiometers to study the activity of the visual cortex of five blind humans deprived of visual input since early infancy. Magnetic responses were recorded to pitch changes in a sound sequence when the subjects were either counting these changes or ignoring the stimuli. In two of the blind subjects, magnetic resonance images were also obtained, showing normal visual cortex macroanatomy. In these subjects, the magnetic responses to counted pitch changes were located at visual and temporal cortices whereas ignored pitch changes activated the temporal cortices almost exclusively. Also in two of the other three blind, the visual-cortex activation was detectable in the auditory counting task. Our results suggest that the visual cortex of blind humans can participate in auditory discrimination.","publication_date":{"day":null,"month":null,"year":1995,"errors":{}},"publication_name":"Neuroscience Letters"},"translated_abstract":"We used a whole-scalp magnetometer with 122 planar gradiometers to study the activity of the visual cortex of five blind humans deprived of visual input since early infancy. Magnetic responses were recorded to pitch changes in a sound sequence when the subjects were either counting these changes or ignoring the stimuli. In two of the blind subjects, magnetic resonance images were also obtained, showing normal visual cortex macroanatomy. In these subjects, the magnetic responses to counted pitch changes were located at visual and temporal cortices whereas ignored pitch changes activated the temporal cortices almost exclusively. Also in two of the other three blind, the visual-cortex activation was detectable in the auditory counting task. Our results suggest that the visual cortex of blind humans can participate in auditory discrimination.","internal_url":"https://www.academia.edu/5155670/Visual_cortex_activation_in_blind_humans_during_sound_discrimination","translated_internal_url":"","created_at":"2013-11-19T15:17:58.155-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6968536,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":20213617,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":35598202,"co_author_invite_id":null,"email":"m***a@kolumbus.fi","display_order":0,"name":"M. Kajola","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":20213619,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":216795300,"co_author_invite_id":582677,"email":"t***a@helsinki.fi","display_order":4194304,"name":"Teija Kujala","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529517,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":null,"co_author_invite_id":1812231,"email":"j***n@tkk.fi","display_order":6291456,"name":"Janne Sinkkonen","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529518,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":41473431,"co_author_invite_id":null,"email":"h***n@aalto.fi","display_order":7340032,"name":"Hannu Tiitinen","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529519,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":31294835,"co_author_invite_id":null,"email":"k***o@helsinki.fi","display_order":7864320,"name":"Kimmo Alho","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529522,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":35627204,"co_author_invite_id":null,"email":"r***n@helsinki.fi","display_order":8126464,"name":"R Näätänen","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21529550,"work_id":5155670,"tagging_user_id":6968536,"tagged_user_id":8951497,"co_author_invite_id":null,"email":"r***i@aalto.fi","affiliation":"Aalto University","display_order":8257536,"name":"Risto Ilmoniemi","title":"Visual cortex activation in blind humans during sound discrimination"},{"id":21928509,"work_id":5155670,"tagging_user_id":8951497,"tagged_user_id":17037818,"co_author_invite_id":null,"email":"m***n@aalto.fi","affiliation":"Aalto University","display_order":8323072,"name":"Matti Hämäläinen","title":"Visual cortex activation in blind humans during sound discrimination"}],"downloadable_attachments":[],"slug":"Visual_cortex_activation_in_blind_humans_during_sound_discrimination","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":6968536,"first_name":"Minna","middle_initials":"","last_name":"Huotilainen","page_name":"MinnaHuotilainen","domain_name":"utu","created_at":"2013-11-19T15:17:07.709-08:00","display_name":"Minna Huotilainen","url":"https://utu.academia.edu/MinnaHuotilainen"},"attachments":[],"research_interests":[{"id":161,"name":"Neuroscience","url":"https://www.academia.edu/Documents/in/Neuroscience"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":237,"name":"Cognitive Science","url":"https://www.academia.edu/Documents/in/Cognitive_Science"},{"id":5097,"name":"Blindness","url":"https://www.academia.edu/Documents/in/Blindness"},{"id":5356,"name":"Magnetoencephalography","url":"https://www.academia.edu/Documents/in/Magnetoencephalography"},{"id":6200,"name":"Magnetic Resonance Imaging","url":"https://www.academia.edu/Documents/in/Magnetic_Resonance_Imaging"},{"id":8088,"name":"Sound","url":"https://www.academia.edu/Documents/in/Sound"},{"id":49962,"name":"Visual Cortex","url":"https://www.academia.edu/Documents/in/Visual_Cortex"},{"id":52176,"name":"Brain Mapping","url":"https://www.academia.edu/Documents/in/Brain_Mapping"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":1239755,"name":"Neurosciences","url":"https://www.academia.edu/Documents/in/Neurosciences"},{"id":2428413,"name":"Acoustic Stimulation","url":"https://www.academia.edu/Documents/in/Acoustic_Stimulation"},{"id":2439414,"name":"Magnetic resonance image","url":"https://www.academia.edu/Documents/in/Magnetic_resonance_image"}],"urls":[{"id":1959436,"url":"http://www.sciencedirect.com/science/article/pii/0304394094111356"}]}, 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="5155679"><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/5155679/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI"><img alt="Research paper thumbnail of Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI" class="work-thumbnail" src="https://attachments.academia-assets.com/49425741/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/5155679/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI">Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI</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://utu.academia.edu/MinnaHuotilainen">Minna Huotilainen</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="37127830a61b7b1718858cc163e8a6da" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49425741,"asset_id":5155679,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49425741/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&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="5155679"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5155679"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5155679; 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J. Neurophysiol. 82: 2545-2555. A sudden change in the direction of motion is a particularly salient and relevant feature of visual information. Extensive research has identified cortical areas responsive to visual motion and characterized their sensitivity to different features of motion, such as directional specificity. However, relatively little is known about responses to sudden changes in direction. Electrophysiological data from animals and functional imaging data from humans suggest a number of brain areas responsive to motion, presumably working as a network. Temporal patterns of activity allow the same network to process information in different ways. The present study in humans sought to determine which motion-sensitive areas are involved in processing changes in the direction of motion and to characterize the temporal patterns of processing within this network of brain regions. To accomplish this, we used both magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). The fMRI data were used as supplementary information in the localization of MEG sources. The change in the direction of visual motion was found to activate a number of areas, each displaying a different temporal behavior. The fMRI revealed motionrelated activity in areas MTϩ (the human homologue of monkey middle temporal area and possibly also other motion sensitive areas next to MT), a region near the posterior end of the superior temporal sulcus (pSTS), V3A, and V1/V2. The MEG data suggested additional frontal sources. An equivalent dipole model for the generators of MEG signals indicated activity in MTϩ, starting at 130 ms and peaking at 170 ms after the reversal of the direction of motion, and then again at ϳ260 ms. Frontal activity began 0 -20 ms later than in MTϩ, and peaked ϳ180 ms. Both pSTS and FEFϩ showed longduration activity continuing over the latency range of 200 -400 ms. MEG responses in the region of V3A and V1/V2 were relatively small, and peaked at longer latencies than the initial peak in MTϩ.","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"grobid_abstract_attachment_id":49425741},"translated_abstract":null,"internal_url":"https://www.academia.edu/5155679/Spatiotemporal_activity_of_a_cortical_network_for_processing_visual_motion_revealed_by_MEG_and_fMRI","translated_internal_url":"","created_at":"2013-11-19T15:18:02.116-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6968536,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":21529555,"work_id":5155679,"tagging_user_id":6968536,"tagged_user_id":null,"co_author_invite_id":595667,"email":"a***u@uchsc.edu","display_order":0,"name":"Arthur Liu","title":"Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI"},{"id":21529556,"work_id":5155679,"tagging_user_id":6968536,"tagged_user_id":36412689,"co_author_invite_id":null,"email":"t***l@nmr.mgh.harvard.edu","display_order":4194304,"name":"R. 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text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5155667/Processing_of_novel_sounds_and_frequency_changes_in_the_human_auditory_cortex_Magnetoencephalographic_recordings">Processing of novel sounds and frequency changes in the human auditory cortex: Magnetoencephalographic recordings</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/EeroPekkonen">Eero Pekkonen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://utu.academia.edu/MinnaHuotilainen">Minna Huotilainen</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/KimmoAlho">Kimmo Alho</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://aalto-fi.academia.edu/RistoIlmoniemi">Risto Ilmoniemi</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://mta.academia.edu/IWinkler">István Winkler</a></span></div><div class="wp-workCard_item"><span>Psychophysiology</span><span>, 1998</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="539b1eddd7cf26e679943f0be3e9c170" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49425750,"asset_id":5155667,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49425750/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&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="5155667"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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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><span><script>$(function() { new Works.PaperRankView({ workId: 5155667, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "539b1eddd7cf26e679943f0be3e9c170" } } $('.js-work-strip[data-work-id=5155667]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5155667,"title":"Processing of novel sounds and frequency changes in the human auditory cortex: Magnetoencephalographic recordings","translated_title":"","metadata":{"grobid_abstract":"Whole-head magnetoencephalographic~MEG! responses to repeating standard tones and to infrequent slightly higher deviant tones and complex novel sounds were recorded together with event-related brain potentials~ERPs!. Deviant tones and novel sounds elicited the mismatch negativity~MMN! component of the ERP and its MEG counterpart MMNm! both when the auditory stimuli were attended to and when they were ignored. MMNm generators were located bilateral to the superior planes of the temporal lobes where preattentive auditory discrimination appears to occur. A subsequent positive P3a component was elicited by deviant tones and with a larger amplitude by novel sounds even when the sounds were to be ignored. Source localization for the MEG counterpart of P3a~P3am! suggested that the auditory cortex in the superior temporal plane is involved in the neural network of involuntary attention switching to changes in the acoustic environment. Culture~DGES UE96-0038!.","publication_date":{"day":null,"month":null,"year":1998,"errors":{}},"publication_name":"Psychophysiology","grobid_abstract_attachment_id":49425750},"translated_abstract":null,"internal_url":"https://www.academia.edu/5155667/Processing_of_novel_sounds_and_frequency_changes_in_the_human_auditory_cortex_Magnetoencephalographic_recordings","translated_internal_url":"","created_at":"2013-11-19T15:17:56.957-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":6968536,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":21529560,"work_id":5155667,"tagging_user_id":6968536,"tagged_user_id":37211932,"co_author_invite_id":null,"email":"e***n@hus.fi","display_order":0,"name":"Eero Pekkonen","title":"Processing of novel sounds and frequency changes in the human auditory cortex: Magnetoencephalographic 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TMS" 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/26058970/Cortical_Excitability_and_Connectivity_Reflected_in_fMRI_MEG_EEG_and_TMS">Cortical Excitability and Connectivity Reflected in fMRI, MEG, EEG, and TMS</a></div><div class="wp-workCard_item"><span>Medical Radiology</span><span>, 2000</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="26058970"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa 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Autonomic activation and repetitive hypoxia are examples of possible mechanisms mediating this risk. In addition to sleep apnea episodes, non-apneic disruptions in sleep continuity are associated with transitory intracranial hypoxia measured with nearinfrared spectroscopy (NIRS). Some of the K-complexes are triggered by non-waking external auditory stimuli. Phasic rapid-eye-movement (REM) sleep is associated with the activation of the autonomic nervous system and surges in systemic blood pressure. Are these sleep microstructural phenomena associated with changes in intracranial blood oxygenation? Methods: Six healthy volunteers were measured overnight with polysomnography and NIRS for extra-and intracranial blood oxygenation changes. Sleep spindles, K-complexes, and bursts of eye movements in REM sleep were detected. Average temporal changes in oxy-and deoxyhemoglobin triggered by these sleep events were measured. Results: K-complexes triggered short intracranial hemodynamic responses and spindels delayed and longer responses. During and after phasic events in REM sleep, there were transient changes in intracranial blood oxygenation. Conclusions: K-complexes are associated with transient hemodynamic changes in intracranial circulation, which can mediate harmful vascular effects during poor sleep due to noisy environments. Systemic blood pressure surges during phasic REM sleep are counteracted with vasoconstriction in cerebral arteries, leading to transient cerebral hypoperfusion and hypoxia episodes during REM sleep. 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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="26058963"><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/26058963/Dynamical_cancellation_of_pulse_induced_transients_in_a_metallic_shielded_room_for_ultra_low_field_magnetic_resonance_imaging"><img alt="Research paper thumbnail of Dynamical cancellation of pulse-induced transients in a metallic shielded room for ultra-low-field magnetic resonance imaging" class="work-thumbnail" src="https://attachments.academia-assets.com/46400779/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/26058963/Dynamical_cancellation_of_pulse_induced_transients_in_a_metallic_shielded_room_for_ultra_low_field_magnetic_resonance_imaging">Dynamical cancellation of pulse-induced transients in a metallic shielded room for ultra-low-field magnetic resonance imaging</a></div><div class="wp-workCard_item"><span>Applied Physics Letters</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9fb302b0035666aa7a5a0ced0a6e64e5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":46400779,"asset_id":26058963,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/46400779/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&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="26058963"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26058963"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26058963; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9fb302b0035666aa7a5a0ced0a6e64e5" } } $('.js-work-strip[data-work-id=26058963]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26058963,"title":"Dynamical cancellation of pulse-induced transients in a metallic shielded room for ultra-low-field magnetic resonance imaging","translated_title":"","metadata":{"grobid_abstract":"Pulse-induced transients such as eddy currents can cause problems in measurement techniques where a signal is acquired after an applied preparatory pulse. In ultra-low-field magnetic resonance imaging, performed in magnetic fields typically of the order of 100 mT, the signal-to-noise ratio is enhanced in part by prepolarizing the proton spins with a pulse of much larger magnetic field and in part by detecting the signal with a Superconducting QUantum Interference Device (SQUID). The pulse turn-off, however, can induce large eddy currents in the shielded room, producing an inhomogeneous magnetic-field transient that both seriously distorts the spin dynamics and exceeds the range of the SQUID readout. It is essential to reduce this transient substantially before image acquisition. We introduce dynamical cancellation (DynaCan), a technique in which a precisely designed current waveform is applied to a separate coil during the later part and turn off of the polarizing pulse. This waveform, which bears no resemblance to the polarizing pulse, is designed to drive the eddy currents to zero at the precise moment that the polarizing field becomes zero. We present the theory used to optimize the waveform using a detailed computational model with corrections from measured magnetic-field transients. SQUID-based measurements with DynaCan demonstrate a cancellation of 99%. Dynamical cancellation has the great advantage that, for a given system, the cancellation accuracy can be optimized in software. This technique can be applied to both metal and high-permeability alloy shielded rooms, and even to transients other than eddy currents. V C 2015 AIP Publishing LLC. [http://dx.doi.org/10.1063/1.4906058] Ultra-low-field (ULF) magnetic resonance imaging (MRI) 1-7 operates in a static magnetic field B 0 of typically 50-250 mT, four orders of magnitude weaker than that of clinical MRI machines. ULF MRI has potentially attractive advantages for medical applications. At the corresponding low nuclear magnetic resonance (NMR) frequencies, about 2-10 kHz, the longitudinal relaxation time T 1 is strongly influenced by slow molecular dynamics, enhancing the T 1 contrast between different tissues, 8 for example, tumor and healthy tissue. 9 This sensitivity is related to that observed in T 1q -contrast imaging at high fields, also operating at frequencies of a few kHz, which has been used to monitor progression of Alzheimer's and Parkinson's diseases 10,11 and to determine the elapsed time since a stroke. 12","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Applied Physics Letters","grobid_abstract_attachment_id":46400779},"translated_abstract":null,"internal_url":"https://www.academia.edu/26058963/Dynamical_cancellation_of_pulse_induced_transients_in_a_metallic_shielded_room_for_ultra_low_field_magnetic_resonance_imaging","translated_internal_url":"","created_at":"2016-06-11T09:40:56.148-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8951497,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":46400779,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46400779/thumbnails/1.jpg","file_name":"Dynamical_cancellation_of_pulse-induced_20160611-12365-1t8etoq.pdf","download_url":"https://www.academia.edu/attachments/46400779/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Dynamical_cancellation_of_pulse_induced.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46400779/Dynamical_cancellation_of_pulse-induced_20160611-12365-1t8etoq-libre.pdf?1465663375=\u0026response-content-disposition=attachment%3B+filename%3DDynamical_cancellation_of_pulse_induced.pdf\u0026Expires=1732398979\u0026Signature=a5zdApKLOMrO~anH4ZVXk8WrNaW83Vb4lYZ-zhbpmWOzIUexXiEu9rBERjC1Dvtt4ocGmEN5vOPW-gxm86z4eHy6jLA9xtSvjzYXuF68JaspMf4YZxo6GHWmEpYZmoFRG2h6lDnP0DuckUTPC-TvIZiC7oMNgw8hQHR1Qx5~GgxRHs2i4EyeaWmnUQcKj0V9qraWTw~T3Vye-rbQ35~2aqGUeOWe9HYMa2vdbYbj1pii1XOohhm7-gT~unV0Bs7fWIi1dCzjVPHrATXQ5I6zIQBJoFzgxLatm9LoSjUeQQ72zfSTTq9f06q1WM56IWIe-zBbwmFHoz8dccukzgTuSw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Dynamical_cancellation_of_pulse_induced_transients_in_a_metallic_shielded_room_for_ultra_low_field_magnetic_resonance_imaging","translated_slug":"","page_count":5,"language":"en","content_type":"Work","owner":{"id":8951497,"first_name":"Risto","middle_initials":null,"last_name":"Ilmoniemi","page_name":"RistoIlmoniemi","domain_name":"aalto-fi","created_at":"2014-02-07T21:32:32.421-08:00","display_name":"Risto Ilmoniemi","url":"https://aalto-fi.academia.edu/RistoIlmoniemi"},"attachments":[{"id":46400779,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/46400779/thumbnails/1.jpg","file_name":"Dynamical_cancellation_of_pulse-induced_20160611-12365-1t8etoq.pdf","download_url":"https://www.academia.edu/attachments/46400779/download_file?st=MTczMjQwMDU1NSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Dynamical_cancellation_of_pulse_induced.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/46400779/Dynamical_cancellation_of_pulse-induced_20160611-12365-1t8etoq-libre.pdf?1465663375=\u0026response-content-disposition=attachment%3B+filename%3DDynamical_cancellation_of_pulse_induced.pdf\u0026Expires=1732398979\u0026Signature=a5zdApKLOMrO~anH4ZVXk8WrNaW83Vb4lYZ-zhbpmWOzIUexXiEu9rBERjC1Dvtt4ocGmEN5vOPW-gxm86z4eHy6jLA9xtSvjzYXuF68JaspMf4YZxo6GHWmEpYZmoFRG2h6lDnP0DuckUTPC-TvIZiC7oMNgw8hQHR1Qx5~GgxRHs2i4EyeaWmnUQcKj0V9qraWTw~T3Vye-rbQ35~2aqGUeOWe9HYMa2vdbYbj1pii1XOohhm7-gT~unV0Bs7fWIi1dCzjVPHrATXQ5I6zIQBJoFzgxLatm9LoSjUeQQ72zfSTTq9f06q1WM56IWIe-zBbwmFHoz8dccukzgTuSw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"}],"urls":[]}, 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="26058962"><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/26058962/Rotary_scanning_acquisition_in_ultra_low_field_MRI"><img alt="Research paper thumbnail of Rotary scanning acquisition in ultra-low-field MRI" 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/26058962/Rotary_scanning_acquisition_in_ultra_low_field_MRI">Rotary scanning acquisition in ultra-low-field MRI</a></div><div class="wp-workCard_item"><span>Magnetic Resonance in Medicine</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">To develop a method of achieving large field of view (FOV) imaging with a smaller amount of data ...</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">To develop a method of achieving large field of view (FOV) imaging with a smaller amount of data in ultra-low-field (ULF) MRI. In rotary scanning acquisition (RSA), data from the imaging object is acquired at multiple angles by rotating the object or the scanner. RSA is similar to radial-trajectory acquisition but simplifies the measurement and image reconstruction when concomitant fields are nonnegligible. RSA was implemented to achieve large FOV with only three localized superconductive quantum interference device (SQUID) sensors at the ULF-MRI field of 50 μT. Simulations suggest benefits of RSA, including reduced concomitant field artifacts, large FOV imaging, and SNR improvement. Experimental data demonstrate the feasibility of reconstructing large FOV images using only three SQUID sensors with 33% of the amount of data collected using a Cartesian trajectory. RSA can be useful in low-field, low-weight, or portable MRI to generate large FOV images with only a few sensors. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.</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="26058962"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26058962"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26058962; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=26058962]").text(description); $(".js-view-count[data-work-id=26058962]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 26058962; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='26058962']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 26058962, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=26058962]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":26058962,"title":"Rotary scanning acquisition in ultra-low-field MRI","translated_title":"","metadata":{"abstract":"To develop a method of achieving large field of view (FOV) imaging with a smaller amount of data in ultra-low-field (ULF) MRI. In rotary scanning acquisition (RSA), data from the imaging object is acquired at multiple angles by rotating the object or the scanner. RSA is similar to radial-trajectory acquisition but simplifies the measurement and image reconstruction when concomitant fields are nonnegligible. RSA was implemented to achieve large FOV with only three localized superconductive quantum interference device (SQUID) sensors at the ULF-MRI field of 50 μT. Simulations suggest benefits of RSA, including reduced concomitant field artifacts, large FOV imaging, and SNR improvement. Experimental data demonstrate the feasibility of reconstructing large FOV images using only three SQUID sensors with 33% of the amount of data collected using a Cartesian trajectory. RSA can be useful in low-field, low-weight, or portable MRI to generate large FOV images with only a few sensors. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Magnetic Resonance in Medicine"},"translated_abstract":"To develop a method of achieving large field of view (FOV) imaging with a smaller amount of data in ultra-low-field (ULF) MRI. In rotary scanning acquisition (RSA), data from the imaging object is acquired at multiple angles by rotating the object or the scanner. RSA is similar to radial-trajectory acquisition but simplifies the measurement and image reconstruction when concomitant fields are nonnegligible. RSA was implemented to achieve large FOV with only three localized superconductive quantum interference device (SQUID) sensors at the ULF-MRI field of 50 μT. Simulations suggest benefits of RSA, including reduced concomitant field artifacts, large FOV imaging, and SNR improvement. Experimental data demonstrate the feasibility of reconstructing large FOV images using only three SQUID sensors with 33% of the amount of data collected using a Cartesian trajectory. RSA can be useful in low-field, low-weight, or portable MRI to generate large FOV images with only a few sensors. Magn Reson Med, 2015. © 2015 Wiley Periodicals, Inc.","internal_url":"https://www.academia.edu/26058962/Rotary_scanning_acquisition_in_ultra_low_field_MRI","translated_internal_url":"","created_at":"2016-06-11T09:40:55.939-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8951497,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Rotary_scanning_acquisition_in_ultra_low_field_MRI","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":8951497,"first_name":"Risto","middle_initials":null,"last_name":"Ilmoniemi","page_name":"RistoIlmoniemi","domain_name":"aalto-fi","created_at":"2014-02-07T21:32:32.421-08:00","display_name":"Risto Ilmoniemi","url":"https://aalto-fi.academia.edu/RistoIlmoniemi"},"attachments":[],"research_interests":[{"id":1131,"name":"Biomedical Engineering","url":"https://www.academia.edu/Documents/in/Biomedical_Engineering"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="26058961"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/26058961/Somatosensory_Evoked_Fields_from_SMI_and_SII_During_Interfering_Finger_Movements_and_Tactile_Stimulation"><img alt="Research paper thumbnail of Somatosensory Evoked Fields from SMI and SII During ’Interfering’ Finger Movements and Tactile Stimulation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/26058961/Somatosensory_Evoked_Fields_from_SMI_and_SII_During_Interfering_Finger_Movements_and_Tactile_Stimulation">Somatosensory Evoked Fields from SMI and SII During ’Interfering’ Finger Movements and Tactile Stimulation</a></div><div class="wp-workCard_item"><span>Biomag 96</span><span>, 2000</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="26058961"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="26058961"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 26058961; 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