Loading…

Cortical substrates and functional correlates of auditory deviance processing deficits in schizophrenia

Although sensory processing abnormalities contribute to widespread cognitive and psychosocial impairments in schizophrenia (SZ) patients, scalp-channel measures of averaged event-related potentials (ERPs) mix contributions from distinct cortical source-area generators, diluting the functional releva...

Full description

Saved in:
Bibliographic Details
Published in:NeuroImage clinical 2014-01, Vol.6 (C), p.424-437
Main Authors: Rissling, Anthony J, Miyakoshi, Makoto, Sugar, Catherine A, Braff, David L, Makeig, Scott, Light, Gregory A
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c468t-1804e348ab824b431f8c0bd7b775b3efe73c933eb6a65f48d8530d64e480b5b53
cites cdi_FETCH-LOGICAL-c468t-1804e348ab824b431f8c0bd7b775b3efe73c933eb6a65f48d8530d64e480b5b53
container_end_page 437
container_issue C
container_start_page 424
container_title NeuroImage clinical
container_volume 6
creator Rissling, Anthony J
Miyakoshi, Makoto
Sugar, Catherine A
Braff, David L
Makeig, Scott
Light, Gregory A
description Although sensory processing abnormalities contribute to widespread cognitive and psychosocial impairments in schizophrenia (SZ) patients, scalp-channel measures of averaged event-related potentials (ERPs) mix contributions from distinct cortical source-area generators, diluting the functional relevance of channel-based ERP measures. SZ patients (n = 42) and non-psychiatric comparison subjects (n = 47) participated in a passive auditory duration oddball paradigm, eliciting a triphasic (Deviant-Standard) tone ERP difference complex, here termed the auditory deviance response (ADR), comprised of a mid-frontal mismatch negativity (MMN), P3a positivity, and re-orienting negativity (RON) peak sequence. To identify its cortical sources and to assess possible relationships between their response contributions and clinical SZ measures, we applied independent component analysis to the continuous 68-channel EEG data and clustered the resulting independent components (ICs) across subjects on spectral, ERP, and topographic similarities. Six IC clusters centered in right superior temporal, right inferior frontal, ventral mid-cingulate, anterior cingulate, medial orbitofrontal, and dorsal mid-cingulate cortex each made triphasic response contributions. Although correlations between measures of SZ clinical, cognitive, and psychosocial functioning and standard (Fz) scalp-channel ADR peak measures were weak or absent, for at least four IC clusters one or more significant correlations emerged. In particular, differences in MMN peak amplitude in the right superior temporal IC cluster accounted for 48% of the variance in SZ-subject performance on tasks necessary for real-world functioning and medial orbitofrontal cluster P3a amplitude accounted for 40%/54% of SZ-subject variance in positive/negative symptoms. Thus, source-resolved auditory deviance response measures including MMN may be highly sensitive to SZ clinical, cognitive, and functional characteristics.
doi_str_mv 10.1016/j.nicl.2014.09.006
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_4036a616eece41578bc34a5c4b90152b</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_4036a616eece41578bc34a5c4b90152b</doaj_id><sourcerecordid>1622065187</sourcerecordid><originalsourceid>FETCH-LOGICAL-c468t-1804e348ab824b431f8c0bd7b775b3efe73c933eb6a65f48d8530d64e480b5b53</originalsourceid><addsrcrecordid>eNpVkU1r3DAQhkVoSUKaP9BD8bGXdUefli-FsrRJINBLexaSPN7V4pW2kh1If3212TQkukjMO_PMjF5CPlJoKVD1ZdfG4KeWARUt9C2AOiOXjFG-olKzd6_eF-S6lB3UowE6pc7JBZO864VUl2SzTnkO3k5NWVyZs52xNDYOzbhEP4cUq-JTzjg9KWls7DKEOeXHZsCHYKPH5pCTx1JC3NTYGHyYSxNiU_w2_E2HbcYY7AfyfrRTwevn-4r8_vH91_p2df_z5m797X7lhdLzimoQyIW2TjPhBKej9uCGznWddBxH7LjvOUenrJKj0IOWHAYlUGhw0kl-Re5O3CHZnTnksLf50SQbzFMg5Y2xx4UnNAJ4pVCF6FFQ2WnnubDSC9cDlcxV1tcT67C4PQ4eY_2f6Q30rRLD1mzSgxGM6l6wCvj8DMjpz4JlNvtQPE6TjZiWYqhiDJSkuqup7JTqcyol4_jShoI5Gm525mi4ORpuoDfV8Fr06fWALyX_7eX_AJDKqog</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1622065187</pqid></control><display><type>article</type><title>Cortical substrates and functional correlates of auditory deviance processing deficits in schizophrenia</title><source>PubMed Central(OpenAccess)</source><source>ScienceDirect Journals</source><creator>Rissling, Anthony J ; Miyakoshi, Makoto ; Sugar, Catherine A ; Braff, David L ; Makeig, Scott ; Light, Gregory A</creator><creatorcontrib>Rissling, Anthony J ; Miyakoshi, Makoto ; Sugar, Catherine A ; Braff, David L ; Makeig, Scott ; Light, Gregory A</creatorcontrib><description>Although sensory processing abnormalities contribute to widespread cognitive and psychosocial impairments in schizophrenia (SZ) patients, scalp-channel measures of averaged event-related potentials (ERPs) mix contributions from distinct cortical source-area generators, diluting the functional relevance of channel-based ERP measures. SZ patients (n = 42) and non-psychiatric comparison subjects (n = 47) participated in a passive auditory duration oddball paradigm, eliciting a triphasic (Deviant-Standard) tone ERP difference complex, here termed the auditory deviance response (ADR), comprised of a mid-frontal mismatch negativity (MMN), P3a positivity, and re-orienting negativity (RON) peak sequence. To identify its cortical sources and to assess possible relationships between their response contributions and clinical SZ measures, we applied independent component analysis to the continuous 68-channel EEG data and clustered the resulting independent components (ICs) across subjects on spectral, ERP, and topographic similarities. Six IC clusters centered in right superior temporal, right inferior frontal, ventral mid-cingulate, anterior cingulate, medial orbitofrontal, and dorsal mid-cingulate cortex each made triphasic response contributions. Although correlations between measures of SZ clinical, cognitive, and psychosocial functioning and standard (Fz) scalp-channel ADR peak measures were weak or absent, for at least four IC clusters one or more significant correlations emerged. In particular, differences in MMN peak amplitude in the right superior temporal IC cluster accounted for 48% of the variance in SZ-subject performance on tasks necessary for real-world functioning and medial orbitofrontal cluster P3a amplitude accounted for 40%/54% of SZ-subject variance in positive/negative symptoms. Thus, source-resolved auditory deviance response measures including MMN may be highly sensitive to SZ clinical, cognitive, and functional characteristics.</description><identifier>ISSN: 2213-1582</identifier><identifier>EISSN: 2213-1582</identifier><identifier>DOI: 10.1016/j.nicl.2014.09.006</identifier><identifier>PMID: 25379456</identifier><language>eng</language><publisher>Netherlands: Elsevier</publisher><subject>Acoustic Stimulation ; Adult ; Attention ; Attention - physiology ; Auditory Perception - physiology ; Brain - physiopathology ; Data Interpretation, Statistical ; EEG ; Electroencephalography ; Evoked Potentials, Auditory ; Female ; Humans ; Independent component analysis ; Male ; Middle Aged ; Mismatch negativity ; Regular ; Schizophrenia ; Schizophrenia - physiopathology</subject><ispartof>NeuroImage clinical, 2014-01, Vol.6 (C), p.424-437</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c468t-1804e348ab824b431f8c0bd7b775b3efe73c933eb6a65f48d8530d64e480b5b53</citedby><cites>FETCH-LOGICAL-c468t-1804e348ab824b431f8c0bd7b775b3efe73c933eb6a65f48d8530d64e480b5b53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4218942/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4218942/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25379456$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rissling, Anthony J</creatorcontrib><creatorcontrib>Miyakoshi, Makoto</creatorcontrib><creatorcontrib>Sugar, Catherine A</creatorcontrib><creatorcontrib>Braff, David L</creatorcontrib><creatorcontrib>Makeig, Scott</creatorcontrib><creatorcontrib>Light, Gregory A</creatorcontrib><title>Cortical substrates and functional correlates of auditory deviance processing deficits in schizophrenia</title><title>NeuroImage clinical</title><addtitle>Neuroimage Clin</addtitle><description>Although sensory processing abnormalities contribute to widespread cognitive and psychosocial impairments in schizophrenia (SZ) patients, scalp-channel measures of averaged event-related potentials (ERPs) mix contributions from distinct cortical source-area generators, diluting the functional relevance of channel-based ERP measures. SZ patients (n = 42) and non-psychiatric comparison subjects (n = 47) participated in a passive auditory duration oddball paradigm, eliciting a triphasic (Deviant-Standard) tone ERP difference complex, here termed the auditory deviance response (ADR), comprised of a mid-frontal mismatch negativity (MMN), P3a positivity, and re-orienting negativity (RON) peak sequence. To identify its cortical sources and to assess possible relationships between their response contributions and clinical SZ measures, we applied independent component analysis to the continuous 68-channel EEG data and clustered the resulting independent components (ICs) across subjects on spectral, ERP, and topographic similarities. Six IC clusters centered in right superior temporal, right inferior frontal, ventral mid-cingulate, anterior cingulate, medial orbitofrontal, and dorsal mid-cingulate cortex each made triphasic response contributions. Although correlations between measures of SZ clinical, cognitive, and psychosocial functioning and standard (Fz) scalp-channel ADR peak measures were weak or absent, for at least four IC clusters one or more significant correlations emerged. In particular, differences in MMN peak amplitude in the right superior temporal IC cluster accounted for 48% of the variance in SZ-subject performance on tasks necessary for real-world functioning and medial orbitofrontal cluster P3a amplitude accounted for 40%/54% of SZ-subject variance in positive/negative symptoms. Thus, source-resolved auditory deviance response measures including MMN may be highly sensitive to SZ clinical, cognitive, and functional characteristics.</description><subject>Acoustic Stimulation</subject><subject>Adult</subject><subject>Attention</subject><subject>Attention - physiology</subject><subject>Auditory Perception - physiology</subject><subject>Brain - physiopathology</subject><subject>Data Interpretation, Statistical</subject><subject>EEG</subject><subject>Electroencephalography</subject><subject>Evoked Potentials, Auditory</subject><subject>Female</subject><subject>Humans</subject><subject>Independent component analysis</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Mismatch negativity</subject><subject>Regular</subject><subject>Schizophrenia</subject><subject>Schizophrenia - physiopathology</subject><issn>2213-1582</issn><issn>2213-1582</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpVkU1r3DAQhkVoSUKaP9BD8bGXdUefli-FsrRJINBLexaSPN7V4pW2kh1If3212TQkukjMO_PMjF5CPlJoKVD1ZdfG4KeWARUt9C2AOiOXjFG-olKzd6_eF-S6lB3UowE6pc7JBZO864VUl2SzTnkO3k5NWVyZs52xNDYOzbhEP4cUq-JTzjg9KWls7DKEOeXHZsCHYKPH5pCTx1JC3NTYGHyYSxNiU_w2_E2HbcYY7AfyfrRTwevn-4r8_vH91_p2df_z5m797X7lhdLzimoQyIW2TjPhBKej9uCGznWddBxH7LjvOUenrJKj0IOWHAYlUGhw0kl-Re5O3CHZnTnksLf50SQbzFMg5Y2xx4UnNAJ4pVCF6FFQ2WnnubDSC9cDlcxV1tcT67C4PQ4eY_2f6Q30rRLD1mzSgxGM6l6wCvj8DMjpz4JlNvtQPE6TjZiWYqhiDJSkuqup7JTqcyol4_jShoI5Gm525mi4ORpuoDfV8Fr06fWALyX_7eX_AJDKqog</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Rissling, Anthony J</creator><creator>Miyakoshi, Makoto</creator><creator>Sugar, Catherine A</creator><creator>Braff, David L</creator><creator>Makeig, Scott</creator><creator>Light, Gregory A</creator><general>Elsevier</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140101</creationdate><title>Cortical substrates and functional correlates of auditory deviance processing deficits in schizophrenia</title><author>Rissling, Anthony J ; Miyakoshi, Makoto ; Sugar, Catherine A ; Braff, David L ; Makeig, Scott ; Light, Gregory A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c468t-1804e348ab824b431f8c0bd7b775b3efe73c933eb6a65f48d8530d64e480b5b53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Acoustic Stimulation</topic><topic>Adult</topic><topic>Attention</topic><topic>Attention - physiology</topic><topic>Auditory Perception - physiology</topic><topic>Brain - physiopathology</topic><topic>Data Interpretation, Statistical</topic><topic>EEG</topic><topic>Electroencephalography</topic><topic>Evoked Potentials, Auditory</topic><topic>Female</topic><topic>Humans</topic><topic>Independent component analysis</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Mismatch negativity</topic><topic>Regular</topic><topic>Schizophrenia</topic><topic>Schizophrenia - physiopathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rissling, Anthony J</creatorcontrib><creatorcontrib>Miyakoshi, Makoto</creatorcontrib><creatorcontrib>Sugar, Catherine A</creatorcontrib><creatorcontrib>Braff, David L</creatorcontrib><creatorcontrib>Makeig, Scott</creatorcontrib><creatorcontrib>Light, Gregory A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals(OpenAccess)</collection><jtitle>NeuroImage clinical</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rissling, Anthony J</au><au>Miyakoshi, Makoto</au><au>Sugar, Catherine A</au><au>Braff, David L</au><au>Makeig, Scott</au><au>Light, Gregory A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cortical substrates and functional correlates of auditory deviance processing deficits in schizophrenia</atitle><jtitle>NeuroImage clinical</jtitle><addtitle>Neuroimage Clin</addtitle><date>2014-01-01</date><risdate>2014</risdate><volume>6</volume><issue>C</issue><spage>424</spage><epage>437</epage><pages>424-437</pages><issn>2213-1582</issn><eissn>2213-1582</eissn><abstract>Although sensory processing abnormalities contribute to widespread cognitive and psychosocial impairments in schizophrenia (SZ) patients, scalp-channel measures of averaged event-related potentials (ERPs) mix contributions from distinct cortical source-area generators, diluting the functional relevance of channel-based ERP measures. SZ patients (n = 42) and non-psychiatric comparison subjects (n = 47) participated in a passive auditory duration oddball paradigm, eliciting a triphasic (Deviant-Standard) tone ERP difference complex, here termed the auditory deviance response (ADR), comprised of a mid-frontal mismatch negativity (MMN), P3a positivity, and re-orienting negativity (RON) peak sequence. To identify its cortical sources and to assess possible relationships between their response contributions and clinical SZ measures, we applied independent component analysis to the continuous 68-channel EEG data and clustered the resulting independent components (ICs) across subjects on spectral, ERP, and topographic similarities. Six IC clusters centered in right superior temporal, right inferior frontal, ventral mid-cingulate, anterior cingulate, medial orbitofrontal, and dorsal mid-cingulate cortex each made triphasic response contributions. Although correlations between measures of SZ clinical, cognitive, and psychosocial functioning and standard (Fz) scalp-channel ADR peak measures were weak or absent, for at least four IC clusters one or more significant correlations emerged. In particular, differences in MMN peak amplitude in the right superior temporal IC cluster accounted for 48% of the variance in SZ-subject performance on tasks necessary for real-world functioning and medial orbitofrontal cluster P3a amplitude accounted for 40%/54% of SZ-subject variance in positive/negative symptoms. Thus, source-resolved auditory deviance response measures including MMN may be highly sensitive to SZ clinical, cognitive, and functional characteristics.</abstract><cop>Netherlands</cop><pub>Elsevier</pub><pmid>25379456</pmid><doi>10.1016/j.nicl.2014.09.006</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2213-1582
ispartof NeuroImage clinical, 2014-01, Vol.6 (C), p.424-437
issn 2213-1582
2213-1582
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_4036a616eece41578bc34a5c4b90152b
source PubMed Central(OpenAccess); ScienceDirect Journals
subjects Acoustic Stimulation
Adult
Attention
Attention - physiology
Auditory Perception - physiology
Brain - physiopathology
Data Interpretation, Statistical
EEG
Electroencephalography
Evoked Potentials, Auditory
Female
Humans
Independent component analysis
Male
Middle Aged
Mismatch negativity
Regular
Schizophrenia
Schizophrenia - physiopathology
title Cortical substrates and functional correlates of auditory deviance processing deficits in schizophrenia
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T13%3A34%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cortical%20substrates%20and%20functional%20correlates%20of%20auditory%20deviance%20processing%20deficits%20in%20schizophrenia&rft.jtitle=NeuroImage%20clinical&rft.au=Rissling,%20Anthony%20J&rft.date=2014-01-01&rft.volume=6&rft.issue=C&rft.spage=424&rft.epage=437&rft.pages=424-437&rft.issn=2213-1582&rft.eissn=2213-1582&rft_id=info:doi/10.1016/j.nicl.2014.09.006&rft_dat=%3Cproquest_doaj_%3E1622065187%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c468t-1804e348ab824b431f8c0bd7b775b3efe73c933eb6a65f48d8530d64e480b5b53%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1622065187&rft_id=info:pmid/25379456&rfr_iscdi=true