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"Waves of Binding: Neural Oscillations of Visual, Auditory, and Lexical" by Hannah Morrow

<!DOCTYPE html> <html lang="en"> <head><!-- inj yui3-seed: --><script type='text/javascript' src='//cdnjs.cloudflare.com/ajax/libs/yui/3.6.0/yui/yui-min.js'></script><script type='text/javascript' src='//ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js'></script><!-- Adobe Analytics --><script type='text/javascript' src='https://assets.adobedtm.com/4a848ae9611a/d0e96722185b/launch-d525bb0064d8.min.js'></script><script type='text/javascript' src=/assets/nr_browser_production.js></script> <!-- def.1 --> <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title> "Waves of Binding: Neural Oscillations of Visual, Auditory, and Lexical" by Hannah Morrow </title> <!-- FILE article_meta-tags.inc --><!-- FILE: /srv/sequoia/main/data/assets/site/article_meta-tags.inc --> <meta itemprop="name" content="Waves of Binding: Neural Oscillations of Visual, Auditory, and Lexical Integration"> <meta property="og:title" content="Waves of Binding: Neural Oscillations of Visual, Auditory, and Lexical Integration"> <meta name="twitter:title" content="Waves of Binding: Neural Oscillations of Visual, Auditory, and Lexical Integration"> <meta property="article:author" content="Hannah Morrow"> <meta name="author" content="Hannah Morrow"> <meta name="robots" content="noodp, noydir"> <meta name="description" content="If our conceptual knowledge about concrete objects is represented (in part) across the brain regions that are active when those objects are perceived, how is information from those regions integrated, or “bound” into a coherent whole? One potential mechanism for binding is synchronized neuronal firing. In particular, high-frequencies (e.g., gamma) may support local interactions, while lower frequencies (e.g., theta) may support longer-range interactions. Previous work has implicated the role of gamma and theta in binding, but not testing both on the same paradigm with a condition intended to create more cortical distance. We recorded participants’ EEG while they were presented with pairs of visual and auditory stimuli that were either congruent or incongruent (e.g., a picture of a lion followed by either a roar, or a bang sound, respectively), predicting that as observed in prior work (Schneider et al., 2008), integration and thus gamma power should be greater for congruent pairs. We also manipulated whether the sounds following the pictures were non-lexical (e.g., a roar sound) or lexical (e.g., the word “roar”), predicting that because interactions involved in integrating lexical information are presumably longer-range (i.e., not just interactions between visual and auditory processing brain areas, but between these regions and lexical processing areas as well) these interactions would produce more sustained theta activity. We found no differences between conditions in gamma. However, contrary to our predictions there was a significant increase in late theta for incongruent compared to congruent lexical trials, which we speculate may be due to working memory load. Our findings underscore the need for work examining the relationship between synchronous neural firing and integration during conceptual processing, as better understanding may lead to improvements in interventions for clinical populations, as well as better models of semantic memory organization and learning."> <meta itemprop="description" content="If our conceptual knowledge about concrete objects is represented (in part) across the brain regions that are active when those objects are perceived, how is information from those regions integrated, or “bound” into a coherent whole? One potential mechanism for binding is synchronized neuronal firing. In particular, high-frequencies (e.g., gamma) may support local interactions, while lower frequencies (e.g., theta) may support longer-range interactions. Previous work has implicated the role of gamma and theta in binding, but not testing both on the same paradigm with a condition intended to create more cortical distance. We recorded participants’ EEG while they were presented with pairs of visual and auditory stimuli that were either congruent or incongruent (e.g., a picture of a lion followed by either a roar, or a bang sound, respectively), predicting that as observed in prior work (Schneider et al., 2008), integration and thus gamma power should be greater for congruent pairs. We also manipulated whether the sounds following the pictures were non-lexical (e.g., a roar sound) or lexical (e.g., the word “roar”), predicting that because interactions involved in integrating lexical information are presumably longer-range (i.e., not just interactions between visual and auditory processing brain areas, but between these regions and lexical processing areas as well) these interactions would produce more sustained theta activity. We found no differences between conditions in gamma. However, contrary to our predictions there was a significant increase in late theta for incongruent compared to congruent lexical trials, which we speculate may be due to working memory load. Our findings underscore the need for work examining the relationship between synchronous neural firing and integration during conceptual processing, as better understanding may lead to improvements in interventions for clinical populations, as well as better models of semantic memory organization and learning."> <meta name="twitter:description" content="If our conceptual knowledge about concrete objects is represented (in part) across the brain regions that are active when those objects are perceived, how is information from those regions integrated, or “bound” into a coherent whole? One potential mechanism for binding is synchronized neuronal firing. In particular, high-frequencies (e.g., gamma) may support local interactions, while lower frequencies (e.g., theta) may support longer-range interactions. Previous work has implicated the role of gamma and theta in binding, but not testing both on the same paradigm with a condition intended to create more cortical distance. We recorded participants’ EEG while they were presented with pairs of visual and auditory stimuli that were either congruent or incongruent (e.g., a picture of a lion followed by either a roar, or a bang sound, respectively), predicting that as observed in prior work (Schneider et al., 2008), integration and thus gamma power should be greater for congruent pairs. We also manipulated whether the sounds following the pictures were non-lexical (e.g., a roar sound) or lexical (e.g., the word “roar”), predicting that because interactions involved in integrating lexical information are presumably longer-range (i.e., not just interactions between visual and auditory processing brain areas, but between these regions and lexical processing areas as well) these interactions would produce more sustained theta activity. We found no differences between conditions in gamma. However, contrary to our predictions there was a significant increase in late theta for incongruent compared to congruent lexical trials, which we speculate may be due to working memory load. Our findings underscore the need for work examining the relationship between synchronous neural firing and integration during conceptual processing, as better understanding may lead to improvements in interventions for clinical populations, as well as better models of semantic memory organization and learning."> <meta property="og:description" content="If our conceptual knowledge about concrete objects is represented (in part) across the brain regions that are active when those objects are perceived, how is information from those regions integrated, or “bound” into a coherent whole? One potential mechanism for binding is synchronized neuronal firing. In particular, high-frequencies (e.g., gamma) may support local interactions, while lower frequencies (e.g., theta) may support longer-range interactions. Previous work has implicated the role of gamma and theta in binding, but not testing both on the same paradigm with a condition intended to create more cortical distance. We recorded participants’ EEG while they were presented with pairs of visual and auditory stimuli that were either congruent or incongruent (e.g., a picture of a lion followed by either a roar, or a bang sound, respectively), predicting that as observed in prior work (Schneider et al., 2008), integration and thus gamma power should be greater for congruent pairs. We also manipulated whether the sounds following the pictures were non-lexical (e.g., a roar sound) or lexical (e.g., the word “roar”), predicting that because interactions involved in integrating lexical information are presumably longer-range (i.e., not just interactions between visual and auditory processing brain areas, but between these regions and lexical processing areas as well) these interactions would produce more sustained theta activity. We found no differences between conditions in gamma. However, contrary to our predictions there was a significant increase in late theta for incongruent compared to congruent lexical trials, which we speculate may be due to working memory load. Our findings underscore the need for work examining the relationship between synchronous neural firing and integration during conceptual processing, as better understanding may lead to improvements in interventions for clinical populations, as well as better models of semantic memory organization and learning."> <meta name="keywords" content="Semantic memory, time frequency analysis, gamma, theta, integration, binding"> <meta name="bepress_citation_series_title" content="Master's Theses"> <meta name="bepress_citation_author" content="Morrow, Hannah"> <meta name="bepress_citation_title" content="Waves of Binding: Neural Oscillations of Visual, Auditory, and Lexical Integration"> <meta name="bepress_citation_date" content="2020"> <!-- FILE: /srv/sequoia/main/data/assets/site/ir_download_link.inc --> <!-- FILE: /srv/sequoia/main/data/assets/site/article_meta-tags.inc (cont) --> <meta name="bepress_citation_pdf_url" content="https://digitalcommons.lib.uconn.edu/cgi/viewcontent.cgi?article=2649&amp;context=gs_theses"> <meta name="bepress_citation_abstract_html_url" content="https://digitalcommons.lib.uconn.edu/gs_theses/1488"> <meta name="bepress_citation_online_date" content="2020/5/18"> <meta name="viewport" content="width=device-width"> <!-- Additional Twitter data --> <meta name="twitter:card" content="summary"> <!-- Additional Open Graph data --> <meta property="og:type" content="article"> <meta property="og:url" content="https://digitalcommons.lib.uconn.edu/gs_theses/1488"> <meta property="og:site_name" content="Digital Commons @ UConn"> <!-- Amplitude --> <script type="text/javascript"> (function(e,t){var n=e.amplitude||{_q:[],_iq:{}};var r=t.createElement("script") ;r.type="text/javascript";r.async=true ;r.src="https://cdn.amplitude.com/libs/amplitude-4.5.2-min.gz.js" ;r.integrity="5ceGNbvkytO+PTI82JRl6GwJjVCw6k79kP4le5L5/m0Zny1P7taAF6YVvC4z4Pgj" ;r.onload=function(){if(e.amplitude.runQueuedFunctions){ e.amplitude.runQueuedFunctions()}else{ console.log("[Amplitude] Error: could not load SDK")}} ;var i=t.getElementsByTagName("script")[0];i.parentNode.insertBefore(r,i) ;function s(e,t){e.prototype[t]=function(){ this._q.push([t].concat(Array.prototype.slice.call(arguments,0)));return this}} var o=function(){this._q=[];return this} ;var a=["add","append","clearAll","prepend","set","setOnce","unset"] ;for(var u=0;u<a.length;u++){s(o,a[u])}n.Identify=o;var c=function(){this._q=[] ;return this} ;var l=["setProductId","setQuantity","setPrice","setRevenueType","setEventProperties"] ;for(var p=0;p<l.length;p++){s(c,l[p])}n.Revenue=c ;var d=["init","logEvent","logRevenue","setUserId","setUserProperties","setOptOut","setVersionName","setDomain","setDeviceId","setGlobalUserProperties","identify","clearUserProperties","setGroup","logRevenueV2","regenerateDeviceId","groupIdentify","logEventWithTimestamp","logEventWithGroups","setSessionId","resetSessionId"] ;function v(e){function t(t){e[t]=function(){ e._q.push([t].concat(Array.prototype.slice.call(arguments,0)))}} for(var n=0;n<d.length;n++){t(d[n])}}v(n);n.getInstance=function(e){ e=(!e||e.length===0?"$default_instance":e).toLowerCase() ;if(!n._iq.hasOwnProperty(e)){n._iq[e]={_q:[]};v(n._iq[e])}return n._iq[e]} ;e.amplitude=n})(window,document); 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<a href="https://digitalcommons.lib.uconn.edu/gs_theses/1485" class="ignore" >Previous</a></li> <li><a href="https://digitalcommons.lib.uconn.edu/gs_theses/1514" class="ignore" >Next</a> &gt;</li> <li>&nbsp;</li></ul><div class="crumbs"><!-- FILE: /srv/sequoia/main/data/assets/site/ir_breadcrumb.inc --> <div class="crumbs" role="navigation" aria-label="Breadcrumb"> <p> <a href="https://digitalcommons.lib.uconn.edu" class="ignore" >Home</a> <span aria-hidden="true">&gt;</span> <a href="https://digitalcommons.lib.uconn.edu/gs" class="ignore" >Grad School</a> <span aria-hidden="true">&gt;</span> <a href="https://digitalcommons.lib.uconn.edu/gs_theses" class="ignore" >Master's Theses</a> <span aria-hidden="true">&gt;</span> <a href="https://digitalcommons.lib.uconn.edu/gs_theses/1488" class="ignore" aria-current="page" >1488</a> </p> </div> <!-- FILE: /srv/sequoia/main/data/assets/site/article_pager.inc (cont) --></div> </div> <!-- FILE: /srv/sequoia/main/data/assets/site/ir_series/article/index.html (cont) --> <!-- FILE: /srv/sequoia/main/data/digitalcommons.lib.uconn.edu/assets/ir_series/article/article_info.inc --><!-- FILE: /srv/sequoia/main/data/assets/site/ir_series/article/ir_article_header.inc --> <div id="series-header"> <!-- FILE: /srv/sequoia/main/data/assets/site/ir_series/ir_series_logo.inc --> <!-- FILE: /srv/sequoia/main/data/assets/site/ir_series/article/ir_article_header.inc (cont) --><h2 id="series-title"><a href="https://digitalcommons.lib.uconn.edu/gs_theses" >Master's Theses</a></h2></div> <div style="clear: both">&nbsp;</div> <div id="sub"> <div id="alpha"> <!-- FILE: /srv/sequoia/main/data/digitalcommons.lib.uconn.edu/assets/ir_series/article/article_info.inc (cont) --><div id='title' class='element'> <h1><a href='https://digitalcommons.lib.uconn.edu/cgi/viewcontent.cgi?article=2649&amp;context=gs_theses'>Waves of Binding: Neural Oscillations of Visual, Auditory, and Lexical Integration</a></h1> </div> <div class='clear'></div> <div id='authors' class='element'> <h2 class='visually-hidden'>Authors</h2> <p class="author"><a href='https://digitalcommons.lib.uconn.edu/do/search/?q=bp_author_id%3A%22a2486ed0-d4a7-4ae6-8fa1-d55181f3fd99%22%20OR%20%28author%3A%22Hannah%20Morrow%22%20AND%20-bp_author_id%3A%5B%2A%20TO%20%2A%5D%29&start=0&context=48134'><strong>Hannah Morrow</strong></a><a rel="nofollow" href="https://network.bepress.com/api/follow/subscribe?user=YzgwNjBhM2I0YjY4MDgwYg%3D%3D&amp;institution=ZjFhZDRkY2M4N2IyODY2Yw%3D%3D&amp;format=html" data-follow-set="user:YzgwNjBhM2I0YjY4MDgwYg== institution:ZjFhZDRkY2M4N2IyODY2Yw==" title="Follow Hannah Morrow" class="btn followable">Follow</a><br /> </p></div> <div class='clear'></div> <div id='publication_date' class='element'> <h2 class='field-heading'>Date of Completion</h2> <p>5-10-2020</p> </div> <div class='clear'></div> <div id='embargo_date' class='element'> <h2 class='field-heading'>Embargo Period</h2> <p>5-8-2020</p> </div> <div class='clear'></div> <div id='advisor' class='element'> <h2 class='field-heading'>Advisors</h2> <p>Eiling Yee, Emily Myers, Jon Sprouse, Roeland Hancock</p> </div> <div class='clear'></div> <div id='department' class='element'> <h2 class='field-heading'>Field of Study</h2> <p>Psychological Sciences</p> </div> <div class='clear'></div> <div id='degree' class='element'> <h2 class='field-heading'>Degree</h2> <p>Master of Science</p> </div> <div class='clear'></div> <div id='document_type' class='element'> <h2 class='field-heading'>Open Access</h2> <p>Open Access</p> </div> <div class='clear'></div> <div id='abstract' class='element'> <h2 class='field-heading'>Abstract</h2> <p>If our conceptual knowledge about concrete objects is represented (in part) across the brain regions that are active when those objects are perceived, how is information from those regions integrated, or “bound” into a coherent whole? One potential mechanism for binding is synchronized neuronal firing. In particular, high-frequencies (e.g., gamma) may support local interactions, while lower frequencies (e.g., theta) may support longer-range interactions. Previous work has implicated the role of gamma and theta in binding, but not testing both on the same paradigm with a condition intended to create more cortical distance. We recorded participants’ EEG while they were presented with pairs of visual and auditory stimuli that were either congruent or incongruent (e.g., a picture of a lion followed by either a roar, or a bang sound, respectively), predicting that as observed in prior work (Schneider et al., 2008), integration and thus gamma power should be greater for congruent pairs. We also manipulated whether the sounds following the pictures were non-lexical (e.g., a roar sound) or lexical (e.g., the word “roar”), predicting that because interactions involved in integrating lexical information are presumably longer-range (i.e., not just interactions between visual and auditory processing brain areas, but between these regions and lexical processing areas as well) these interactions would produce more sustained theta activity. We found no differences between conditions in gamma. However, contrary to our predictions there was a significant increase in late theta for <em>incongruent</em> compared to congruent lexical trials, which we speculate may be due to working memory load. Our findings underscore the need for work examining the relationship between synchronous neural firing and integration during conceptual processing, as better understanding may lead to improvements in interventions for clinical populations, as well as better models of semantic memory organization and learning.</p> </div> <div class='clear'></div> <div id='recommended_citation' class='element'> <h2 class='field-heading'>Recommended Citation</h2> <!-- FILE: /srv/sequoia/main/data/assets/site/ir_series/ir_citation.inc --><p> Morrow, Hannah, "Waves of Binding: Neural Oscillations of Visual, Auditory, and Lexical Integration" (2020). <em>Master's Theses</em>. 1488. <br> https://digitalcommons.lib.uconn.edu/gs_theses/1488 </p> <!-- FILE: /srv/sequoia/main/data/digitalcommons.lib.uconn.edu/assets/ir_series/article/article_info.inc (cont) --></div> <div class='clear'></div> <div id='m_advisor' class='element'> <h2 class='field-heading'>Major Advisor</h2> <p>Eiling Yee</p> </div> <div 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