Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample

Detalhes bibliográficos
Autor(a) principal: Pan, Pedro Mario [UNIFESP]
Data de Publicação: 2017
Outros Autores: Sato, Joao R. [UNIFESP], Salum, Giovanni A., Rohde, Luis A., Gadelha, Ary [UNIFESP], Zugman, Andre [UNIFESP], Mari, Jair [UNIFESP], Jackowski, Andrea [UNIFESP], Picon, Felipe, Miguel, Euripedes C., Pine, Daniel S., Leibenluft, Ellen, Bressan, Rodrigo A. [UNIFESP], Stringaris, Argyris
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: https://repositorio.unifesp.br/handle/11600/58280
http://dx.doi.org/10.1176/appi.ajp.2017.17040430
Resumo: Objective: 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.
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spelling Pan, Pedro Mario [UNIFESP]Sato, Joao R. [UNIFESP]Salum, Giovanni A.Rohde, Luis A.Gadelha, Ary [UNIFESP]Zugman, Andre [UNIFESP]Mari, Jair [UNIFESP]Jackowski, Andrea [UNIFESP]Picon, FelipeMiguel, Euripedes C.Pine, Daniel S.Leibenluft, EllenBressan, Rodrigo A. [UNIFESP]Stringaris, Argyris2020-09-01T13:21:28Z2020-09-01T13:21:28Z2017American Journal Of Psychiatry. Arlington, v. 174, n. 11, p. 1112-1119, 2017.0002-953Xhttps://repositorio.unifesp.br/handle/11600/58280http://dx.doi.org/10.1176/appi.ajp.2017.1704043010.1176/appi.ajp.2017.17040430WOS:000414240700013Objective: 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.National Institute of Developmental Psychiatry for Children and Adolescents, Sao PauloSao Paulo Research Foundation]Brazilian National Council for Scientific and Technological DevelopmentShireEli LillyJanssenNovartisSao Paulo Research FoundationWellcome TrustU.K. National Institutes of Health ResearchUniversity College LondonJohnson JohnsonUniv Fed Sao Paulo, Dept Psychiat, Lab Interdisciplinar Neurociencias Clin, Sao Paulo, BrazilNIMH, Mood Brain & Dev Unit, Emot & Dev Branch, Bethesda, MD 20892 USAUniv Fed ABC, Ctr Math Comp & Cognit, Santo Andre, BrazilUniv Fed Rio Grande do Sul, Dept Psychiat, Hosp Clin Porto Alegre, Porto Alegre, RS, BrazilUniv Sao Paulo, Dept & Inst Psychiat, Sao Paulo, BrazilNIMH, Sect Dev & Affect Neurosci, Bethesda, MD 20892 USANIMH, Sect Mood Dysregulat & Neurosci, Emot & Dev Branch, Bethesda, MD 20892 USAKings Coll London, Inst Psychiat Psychol & Neurosci, Dept Psychosis Studies, London, EnglandUniv Fed Sao Paulo, Dept Psychiat, Sao Paulo, BrazilUniv Fed Sao Paulo, Dept Psychiat, Lab Interdisciplinar Neurociencias Clin, Sao Paulo, BrazilUniv Fed Sao Paulo, Dept Psychiat, Sao Paulo, BrazilFAPESP: 2014/50917-0FAPESP: 2013/08531-5CNPq: 465550/2014-2Web of Science1112-1119engAmer Psychiatric Publishing, IncAmerican Journal Of PsychiatryVentral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sampleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleArlington17411info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP11600/582802021-10-05 11:35:46.143metadata only accessoai:repositorio.unifesp.br:11600/58280Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestopendoar:34652021-10-05T14:35:46Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.en.fl_str_mv Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
title Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
spellingShingle Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
Pan, Pedro Mario [UNIFESP]
title_short Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
title_full Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
title_fullStr Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
title_full_unstemmed Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
title_sort Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
author Pan, Pedro Mario [UNIFESP]
author_facet Pan, Pedro Mario [UNIFESP]
Sato, Joao R. [UNIFESP]
Salum, Giovanni A.
Rohde, Luis A.
Gadelha, Ary [UNIFESP]
Zugman, Andre [UNIFESP]
Mari, Jair [UNIFESP]
Jackowski, Andrea [UNIFESP]
Picon, Felipe
Miguel, Euripedes C.
Pine, Daniel S.
Leibenluft, Ellen
Bressan, Rodrigo A. [UNIFESP]
Stringaris, Argyris
author_role author
author2 Sato, Joao R. [UNIFESP]
Salum, Giovanni A.
Rohde, Luis A.
Gadelha, Ary [UNIFESP]
Zugman, Andre [UNIFESP]
Mari, Jair [UNIFESP]
Jackowski, Andrea [UNIFESP]
Picon, Felipe
Miguel, Euripedes C.
Pine, Daniel S.
Leibenluft, Ellen
Bressan, Rodrigo A. [UNIFESP]
Stringaris, Argyris
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Pan, Pedro Mario [UNIFESP]
Sato, Joao R. [UNIFESP]
Salum, Giovanni A.
Rohde, Luis A.
Gadelha, Ary [UNIFESP]
Zugman, Andre [UNIFESP]
Mari, Jair [UNIFESP]
Jackowski, Andrea [UNIFESP]
Picon, Felipe
Miguel, Euripedes C.
Pine, Daniel S.
Leibenluft, Ellen
Bressan, Rodrigo A. [UNIFESP]
Stringaris, Argyris
description Objective: 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.
publishDate 2017
dc.date.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2020-09-01T13:21:28Z
dc.date.available.fl_str_mv 2020-09-01T13:21:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.citation.fl_str_mv American Journal Of Psychiatry. Arlington, v. 174, n. 11, p. 1112-1119, 2017.
dc.identifier.uri.fl_str_mv https://repositorio.unifesp.br/handle/11600/58280
http://dx.doi.org/10.1176/appi.ajp.2017.17040430
dc.identifier.issn.none.fl_str_mv 0002-953X
dc.identifier.doi.none.fl_str_mv 10.1176/appi.ajp.2017.17040430
dc.identifier.wos.none.fl_str_mv WOS:000414240700013
identifier_str_mv American Journal Of Psychiatry. Arlington, v. 174, n. 11, p. 1112-1119, 2017.
0002-953X
10.1176/appi.ajp.2017.17040430
WOS:000414240700013
url https://repositorio.unifesp.br/handle/11600/58280
http://dx.doi.org/10.1176/appi.ajp.2017.17040430
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv American Journal Of Psychiatry
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1112-1119
dc.coverage.none.fl_str_mv Arlington
dc.publisher.none.fl_str_mv Amer Psychiatric Publishing, Inc
publisher.none.fl_str_mv Amer Psychiatric Publishing, Inc
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
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repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
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