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Resting and task-elicited prefrontal EEG alpha asymmetry in depression: Support for the capability model

The capability model of frontal electroencephalographic (EEG) asymmetry suggests that brain activity during emotional challenge will be a more powerful indicator of predispositions toward psychopathology than activity observed at rest. EEG data were assessed during a resting baseline and a facial em...

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Published in:Psychophysiology 2014-05, Vol.51 (5), p.446-455
Main Authors: Stewart, Jennifer L., Coan, James A., Towers, David N., Allen, John J. B.
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Language:English
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description The capability model of frontal electroencephalographic (EEG) asymmetry suggests that brain activity during emotional challenge will be a more powerful indicator of predispositions toward psychopathology than activity observed at rest. EEG data were assessed during a resting baseline and a facial emotion task, wherein individuals with (n = 143) and without (n = 163) lifetime major depressive disorder (MDD) made approach (angry and happy) and withdrawal (afraid and sad) facial expressions. EEG asymmetry during emotional challenge was a more powerful indicator of MDD status than resting asymmetry for average, Cz, and linked mastoid references, results in support of the capability model. However, current‐source‐density (CSD) transformed asymmetry was indicative of lifetime MDD status under resting and task‐elicited conditions. Findings suggest that CSD‐transformed data may be more robust indicators of trait frontal EEG asymmetry.
doi_str_mv 10.1111/psyp.12191
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B.</creatorcontrib><title>Resting and task-elicited prefrontal EEG alpha asymmetry in depression: Support for the capability model</title><title>Psychophysiology</title><addtitle>Psychophysiol</addtitle><description>The capability model of frontal electroencephalographic (EEG) asymmetry suggests that brain activity during emotional challenge will be a more powerful indicator of predispositions toward psychopathology than activity observed at rest. EEG data were assessed during a resting baseline and a facial emotion task, wherein individuals with (n = 143) and without (n = 163) lifetime major depressive disorder (MDD) made approach (angry and happy) and withdrawal (afraid and sad) facial expressions. EEG asymmetry during emotional challenge was a more powerful indicator of MDD status than resting asymmetry for average, Cz, and linked mastoid references, results in support of the capability model. However, current‐source‐density (CSD) transformed asymmetry was indicative of lifetime MDD status under resting and task‐elicited conditions. Findings suggest that CSD‐transformed data may be more robust indicators of trait frontal EEG asymmetry.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Alpha asymmetry</subject><subject>Alpha Rhythm</subject><subject>Asymmetry</subject><subject>Capability model</subject><subject>Depression</subject><subject>Depressive Disorder, Major - physiopathology</subject><subject>Depressive Disorder, Major - psychology</subject><subject>Electroencephalography</subject><subject>Emotion</subject><subject>Female</subject><subject>Functional Laterality</subject><subject>Humans</subject><subject>Male</subject><subject>Models, Psychological</subject><subject>Motivation</subject><subject>Physiological psychology</subject><subject>Prefrontal Cortex - physiopathology</subject><subject>Psychopathology</subject><subject>Rest</subject><subject>Young Adult</subject><issn>0048-5772</issn><issn>1540-5958</issn><issn>1469-8986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqNkc1u1DAURiMEotPChgdAltigSim-_kkcFpWgDANSBRUDQqwsJ3Y6bpM42A6Qt8fDtCNggfDGsnzuJ_s7WfYI8Amk9WwM83gCBCq4ky2AM5zziou72QJjJnJeluQgOwzhCmNcASH3swPCCgAm8CLbfDAh2uESqUGjqMJ1bjrb2Gg0Gr1pvRui6tByuUKqGzcKqTD3vYl-RnZA2iQmBOuG52g9jaPzEbXOo7gxqFGjqm1n44x6p033ILvXqi6Yhzf7Ufbp9fLj2Zv8_P3q7dmL87zhgkMuCGlVWwvCtWIlTccahCihoGBIzVVFNNO8aAowbc15JUBTSkWlKZRElUCPstNd7jjVvdGNGaJXnRy97ZWfpVNW_nkz2I28dN8krQSjBU0BT28CvPs6pXZkb0Njuk4Nxk1BAieYitQj_AcKvGBYkDKhT_5Cr9zkh9TElmK4KJOnRB3vqMa7EFL_-3cDllvXcuta_nKd4Me__3SP3spNAOyA77Yz8z-i5MX6y8VtaL6bsSGaH_sZ5a9lUdKSy8_vVnJd4FeYveSS0J_BrcM8</recordid><startdate>201405</startdate><enddate>201405</enddate><creator>Stewart, Jennifer L.</creator><creator>Coan, James A.</creator><creator>Towers, David N.</creator><creator>Allen, John J. B.</creator><general>Blackwell Publishing Ltd</general><scope>BSCLL</scope><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>7TK</scope><scope>K9.</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201405</creationdate><title>Resting and task-elicited prefrontal EEG alpha asymmetry in depression: Support for the capability model</title><author>Stewart, Jennifer L. ; Coan, James A. ; Towers, David N. ; Allen, John J. 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B.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Psychophysiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stewart, Jennifer L.</au><au>Coan, James A.</au><au>Towers, David N.</au><au>Allen, John J. B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Resting and task-elicited prefrontal EEG alpha asymmetry in depression: Support for the capability model</atitle><jtitle>Psychophysiology</jtitle><addtitle>Psychophysiol</addtitle><date>2014-05</date><risdate>2014</risdate><volume>51</volume><issue>5</issue><spage>446</spage><epage>455</epage><pages>446-455</pages><issn>0048-5772</issn><eissn>1540-5958</eissn><eissn>1469-8986</eissn><notes>istex:D1BD8F6A127EE17E2CBFAF7A749306BDEE5EEF63</notes><notes>National Alliance for Research on Schizophrenia and Depression (NARSAD)</notes><notes>National Institutes of Health - No. R01-MH066902</notes><notes>ark:/67375/WNG-S60D04B5-2</notes><notes>ArticleID:PSYP12191</notes><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><notes>ObjectType-Article-2</notes><notes>ObjectType-Feature-1</notes><notes>Jennifer L. Stewart, Psychiatry Department, University of California, San Diego; James A. Coan, Psychology Department, University of Virginia; David N. Towers, Psychology Department, University of Illinois, Springfield; John J. B. Allen, Psychology Department, University of Arizona.</notes><abstract>The capability model of frontal electroencephalographic (EEG) asymmetry suggests that brain activity during emotional challenge will be a more powerful indicator of predispositions toward psychopathology than activity observed at rest. EEG data were assessed during a resting baseline and a facial emotion task, wherein individuals with (n = 143) and without (n = 163) lifetime major depressive disorder (MDD) made approach (angry and happy) and withdrawal (afraid and sad) facial expressions. EEG asymmetry during emotional challenge was a more powerful indicator of MDD status than resting asymmetry for average, Cz, and linked mastoid references, results in support of the capability model. 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source Wiley; SPORTDiscus
subjects Adolescent
Adult
Alpha asymmetry
Alpha Rhythm
Asymmetry
Capability model
Depression
Depressive Disorder, Major - physiopathology
Depressive Disorder, Major - psychology
Electroencephalography
Emotion
Female
Functional Laterality
Humans
Male
Models, Psychological
Motivation
Physiological psychology
Prefrontal Cortex - physiopathology
Psychopathology
Rest
Young Adult
title Resting and task-elicited prefrontal EEG alpha asymmetry in depression: Support for the capability model
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