<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dillon DG</submitter><funding>NIMH NIH HHS</funding><pagination>2333-44</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4499007</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>45(11)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Depression is characterized by poor executive function, but - counterintuitively - in some studies, it has been associated with highly accurate performance on certain cognitively demanding tasks. The psychological mechanisms responsible for this paradoxical finding are unclear. To address this issue, we applied a drift diffusion model (DDM) to flanker task data from depressed and healthy adults participating in the multi-site Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC) study.&lt;h4>Method&lt;/h4>One hundred unmedicated, depressed adults and 40 healthy controls completed a flanker task. We investigated the effect of flanker interference on accuracy and response time, and used the DDM to examine group differences</pubmed_abstract><journal>Psychological medicine</journal><pubmed_title>A computational analysis of flanker interference in depression.</pubmed_title><pmcid>PMC4499007</pmcid><funding_grant_id>U01 MH092250</funding_grant_id><funding_grant_id>R00MH094438</funding_grant_id><funding_grant_id>U01MH092221</funding_grant_id><funding_grant_id>U01 MH092221</funding_grant_id><funding_grant_id>U01MH092250</funding_grant_id><funding_grant_id>R00 MH094438</funding_grant_id><pubmed_authors>Webb C</pubmed_authors><pubmed_authors>Weissman M</pubmed_authors><pubmed_authors>McGrath PJ</pubmed_authors><pubmed_authors>Cusin C</pubmed_authors><pubmed_authors>Goer F</pubmed_authors><pubmed_authors>Oquendo MA</pubmed_authors><pubmed_authors>Pizzagalli DA</pubmed_authors><pubmed_authors>Deldin P</pubmed_authors><pubmed_authors>Trivedi M</pubmed_authors><pubmed_authors>McInnis M</pubmed_authors><pubmed_authors>Toups M</pubmed_authors><pubmed_authors>Wiecki T</pubmed_authors><pubmed_authors>Fava M</pubmed_authors><pubmed_authors>Carmody T</pubmed_authors><pubmed_authors>Weyandt S</pubmed_authors><pubmed_authors>Adams P</pubmed_authors><pubmed_authors>Bruder G</pubmed_authors><pubmed_authors>Shores-Wilson K</pubmed_authors><pubmed_authors>Dillon DG</pubmed_authors><pubmed_authors>Murray L</pubmed_authors><pubmed_authors>Pechtel P</pubmed_authors><pubmed_authors>Parsey R</pubmed_authors><pubmed_authors>Kurian B</pubmed_authors></additional><is_claimable>false</is_claimable><name>A computational analysis of flanker interference in depression.</name><description>&lt;h4>Background&lt;/h4>Depression is characterized by poor executive function, but - counterintuitively - in some studies, it has been associated with highly accurate performance on certain cognitively demanding tasks. The psychological mechanisms responsible for this paradoxical finding are unclear. To address this issue, we applied a drift diffusion model (DDM) to flanker task data from depressed and healthy adults participating in the multi-site Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC) study.&lt;h4>Method&lt;/h4>One hundred unmedicated, depressed adults and 40 healthy controls completed a flanker task. We investigated the effect of flanker interference on accuracy and response time, and used the DDM to examine group differences</description><dates><release>2015-01-01T00:00:00Z</release><publication>2015 Aug</publication><modification>2026-05-30T10:36:32.509Z</modification><creation>2019-03-27T01:54:58Z</creation></dates><accession>S-EPMC4499007</accession><cross_references><pubmed>25727375</pubmed><doi>10.1017/S0033291715000276</doi><doi>10.1017/s0033291715000276</doi></cross_references></HashMap>