Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , , , , , , |
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. |
id |
UFSP_802c0d30601e17e517f0f574f14d9949 |
---|---|
oai_identifier_str |
oai:repositorio.unifesp.br:11600/58280 |
network_acronym_str |
UFSP |
network_name_str |
Repositório Institucional da UNIFESP |
repository_id_str |
3465 |
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 |
collection |
Repositório Institucional da UNIFESP |
repository.name.fl_str_mv |
Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP) |
repository.mail.fl_str_mv |
|
_version_ |
1802764164737794048 |