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dc.contributor.authorPan, Pedro Mario [UNIFESP]
dc.contributor.authorSato, Joao R. [UNIFESP]
dc.contributor.authorSalum, Giovanni A.
dc.contributor.authorRohde, Luis A.
dc.contributor.authorGadelha, Ary [UNIFESP]
dc.contributor.authorZugman, Andre [UNIFESP]
dc.contributor.authorMari, Jair [UNIFESP]
dc.contributor.authorJackowski, Andrea [UNIFESP]
dc.contributor.authorPicon, Felipe
dc.contributor.authorMiguel, Euripedes C.
dc.contributor.authorPine, Daniel S.
dc.contributor.authorLeibenluft, Ellen
dc.contributor.authorBressan, Rodrigo A. [UNIFESP]
dc.contributor.authorStringaris, Argyris
dc.date.accessioned2020-09-01T13:21:28Z-
dc.date.available2020-09-01T13:21:28Z-
dc.date.issued2017
dc.identifierhttp://dx.doi.org/10.1176/appi.ajp.2017.17040430
dc.identifier.citationAmerican Journal Of Psychiatry. Arlington, v. 174, n. 11, p. 1112-1119, 2017.
dc.identifier.issn0002-953X
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/58280-
dc.description.abstractObjective: Previous studies have implicated aberrant reward processing in the pathogenesis of adolescent depression. However, no study has used functional connectivity within a distributed reward network, assessed using resting-state functional MRI (fMRI), to predict the onset of depression in adolescents. This study used reward network-based functional connectivity at baseline to predict depressive disorder at follow-up in a community sample of adolescents. Method: A total of 637 children 6-12 years old underwent resting-state fMRI. Discovery and replication analyses tested intrinsic functional connectivity (iFC) among nodes of a putative reward network. Logistic regression tested whether striatal node strength, a measure of reward-related iFC, predicted onset of a depressive disorder at 3-year follow-up. Further analyses investigated the specificity of this prediction. Results: Increased left ventral striatum node strength predicted increased risk for future depressive disorder (odds ratio=1.54, 95% CI=1.09-2.18), even after excluding participants who had depressive disorders at baseline (odds ratio=1.52, 95% CI=1.05-2.20). Among 11 reward-network nodes, only the left ventral striatum significantly predicted depression. Striatal node strength did not predict other common adolescent psychopathology, such as anxiety, attention deficit hyperactivity disorder, and substance use. Conclusions: Aberrant ventral striatum functional connectivity specifically predicts future risk for depressive disorder. This finding further emphasizes the need to understand how brain reward networks contribute to youth depression.en
dc.description.sponsorshipNational Institute of Developmental Psychiatry for Children and Adolescents, Sao Paulo
dc.description.sponsorshipSao Paulo Research Foundation]
dc.description.sponsorshipBrazilian National Council for Scientific and Technological Development
dc.description.sponsorshipShire
dc.description.sponsorshipEli Lilly
dc.description.sponsorshipJanssen
dc.description.sponsorshipNovartis
dc.description.sponsorshipSao Paulo Research Foundation
dc.description.sponsorshipWellcome Trust
dc.description.sponsorshipU.K. National Institutes of Health Research
dc.description.sponsorshipUniversity College London
dc.description.sponsorshipJohnson Johnson
dc.format.extent1112-1119
dc.language.isoeng
dc.publisherAmer Psychiatric Publishing, Inc
dc.relation.ispartofAmerican Journal Of Psychiatry
dc.rightsAcesso aberto
dc.titleVentral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sampleen
dc.typeArtigo
dc.description.affiliationUniv Fed Sao Paulo, Dept Psychiat, Lab Interdisciplinar Neurociencias Clin, Sao Paulo, Brazil
dc.description.affiliationNIMH, Mood Brain & Dev Unit, Emot & Dev Branch, Bethesda, MD 20892 USA
dc.description.affiliationUniv Fed ABC, Ctr Math Comp & Cognit, Santo Andre, Brazil
dc.description.affiliationUniv Fed Rio Grande do Sul, Dept Psychiat, Hosp Clin Porto Alegre, Porto Alegre, RS, Brazil
dc.description.affiliationUniv Sao Paulo, Dept & Inst Psychiat, Sao Paulo, Brazil
dc.description.affiliationNIMH, Sect Dev & Affect Neurosci, Bethesda, MD 20892 USA
dc.description.affiliationNIMH, Sect Mood Dysregulat & Neurosci, Emot & Dev Branch, Bethesda, MD 20892 USA
dc.description.affiliationKings Coll London, Inst Psychiat Psychol & Neurosci, Dept Psychosis Studies, London, England
dc.description.affiliationUniv Fed Sao Paulo, Dept Psychiat, Sao Paulo, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Dept Psychiat, Lab Interdisciplinar Neurociencias Clin, Sao Paulo, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo, Dept Psychiat, Sao Paulo, Brazil
dc.description.sponsorshipIDFAPESP: 2014/50917-0
dc.description.sponsorshipIDFAPESP: 2013/08531-5
dc.description.sponsorshipIDCNPq: 465550/2014-2
dc.identifier.doi10.1176/appi.ajp.2017.17040430
dc.description.sourceWeb of Science
dc.identifier.wosWOS:000414240700013
dc.coverageArlington
dc.citation.volume174
dc.citation.issue11
Appears in Collections:EPM - Artigos

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