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dc.contributor.authorHirshfeld-Becker, Dina
dc.contributor.authorBiederman, Joseph
dc.contributor.authorUchida, Mai
dc.contributor.authorDoehrmann, Oliver
dc.contributor.authorKenworthy, Tara
dc.contributor.authorBrown, Ariel
dc.contributor.authorKagan, Elana
dc.contributor.authorChai, Xiaoqian
dc.contributor.authorLeonard, Julia Anne
dc.contributor.authorGabrieli, John D. E.
dc.contributor.authorSalvatore, John J.
dc.contributor.authorde los Angeles, Carlo S
dc.contributor.authorWhitfield-Gabrieli, Susan
dc.date.accessioned2016-05-09T16:06:37Z
dc.date.available2016-05-09T16:06:37Z
dc.date.issued2015-05
dc.date.submitted2015-05
dc.identifier.issn22131582
dc.identifier.urihttp://hdl.handle.net/1721.1/102432
dc.description.abstractDespite growing evidence for atypical amygdala function and structure in major depression, it remains uncertain as to whether these brain differences reflect the clinical state of depression or neurobiological traits that predispose individuals to major depression. We examined function and structure of the amygdala and associated areas in a group of unaffected children of depressed parents (at-risk group) and a group of children of parents without a history of major depression (control group). Compared to the control group, the at-risk group showed increased activation to fearful relative to neutral facial expressions in the amygdala and multiple cortical regions, and decreased activation to happy relative to neutral facial expressions in the anterior cingulate cortex and supramarginal gyrus. At-risk children also exhibited reduced amygdala volume. The extensive hyperactivation to negative facial expressions and hypoactivation to positive facial expressions in at-risk children are consistent with behavioral evidence that risk for major depression involves a bias to attend to negative information. These functional and structural brain differences between at-risk children and controls suggest that there are trait neurobiological underpinnings of risk for major depression.en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.nicl.2015.05.004en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleFunctional and structural brain correlates of risk for major depression in children with familial depressionen_US
dc.typeArticleen_US
dc.identifier.citationChai, Xiaoqian J., Dina Hirshfeld-Becker, Joseph Biederman, Mai Uchida, Oliver Doehrmann, Julia A. Leonard, John Salvatore, et al. “Functional and Structural Brain Correlates of Risk for Major Depression in Children with Familial Depression.” NeuroImage: Clinical 8 (2015): 398–407.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.departmentMcGovern Institute for Brain Research at MITen_US
dc.contributor.mitauthorChai, Xiaoqianen_US
dc.contributor.mitauthorDoehrmann, Oliveren_US
dc.contributor.mitauthorLeonard, Julia Anneen_US
dc.contributor.mitauthorSalvatore, Johnen_US
dc.contributor.mitauthorde los Angeles, Carloen_US
dc.contributor.mitauthorGabrieli, Susanen_US
dc.contributor.mitauthorGabrieli, John D. E.en_US
dc.relation.journalNeuroImage: Clinicalen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsChai, Xiaoqian J.; Hirshfeld-Becker, Dina; Biederman, Joseph; Uchida, Mai; Doehrmann, Oliver; Leonard, Julia A.; Salvatore, John; Kenworthy, Tara; Brown, Ariel; Kagan, Elana; de los Angeles, Carlo; Whitfield-Gabrieli, Susan; Gabrieli, John D.E.en_US
dc.identifier.orcidhttps://orcid.org/0000-0003-1158-5692
dc.identifier.orcidhttps://orcid.org/0000-0001-8099-2721
dc.identifier.orcidhttps://orcid.org/0000-0002-5946-1069
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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