Default mode network maturation and psychopathology in children and adolescents

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dc.contributor.authorSato, Joao Ricardo [UNIFESP]
dc.contributor.authorSalum, Giovanni Abrahao
dc.contributor.authorGadelha, Ary| [UNIFESP]
dc.contributor.authorVieira, Gilson
dc.contributor.authorManfro, Gisele Gus
dc.contributor.authorZugman, Andre [UNIFESP]
dc.contributor.authorPicon, Felipe Almeida
dc.contributor.authorPan, Pedro Mario [UNIFESP]
dc.contributor.authorHoexter, Marcelo Queiroz [UNIFESP]
dc.contributor.authorAnes, Mauricio
dc.contributor.authorMoura, Luciana Monteiro [UNIFESP]
dc.contributor.authorGomes Del'Aquilla, Marco Antonio [UNIFESP]
dc.contributor.authorAmaro Junior, Edson
dc.contributor.authorMcGuire, Philip
dc.contributor.authorLacerda, Acioly Luiz Tavares de [UNIFESP]
dc.contributor.authorRohde, Luis Augusto
dc.contributor.authorMiguel, Euripedes Constantino
dc.contributor.authorJackowski, Andrea Parolin [UNIFESP]
dc.contributor.authorBressan, Rodrigo Affonseca [UNIFESP]
dc.contributor.authorCrossley, Nicolas
dc.contributor.institutionUniversidade Federal de São Paulo (UNIFESP)
dc.date.accessioned2018-07-26T17:30:33Z
dc.date.available2018-07-26T17:30:33Z
dc.date.issued2016
dc.description.abstractBackgroundThe human default mode (DMN) is involved in a wide array of mental disorders. Current knowledge suggests that mental health disorders may reflect deviant trajectories of brain maturation. MethodWe studied 654 children using functional magnetic resonance imaging (fMRI) scans under a resting-state protocol. A machine-learning method was used to obtain age predictions of children based on the average coefficient of fractional amplitude of low frequency fluctuations (fALFFs) of the DMN, a measure of spontaneous local activity. The chronological ages of the children and fALFF measures from regions of this network, the response and predictor variables were considered respectively in a Gaussian Process Regression. Subsequently, we computed a network maturation status index for each subject (actual age minus predicted). We then evaluated the association between this maturation index and psychopathology scores on the Child Behavior Checklist (CBCL). ResultsOur hypothesis was that the maturation status of the DMN would be negatively associated with psychopathology. Consistent with previous studies, fALFF significantly predicted the age of participants (p<.001). Furthermore, as expected, we found an association between the DMN maturation status (precocious vs. delayed) and general psychopathology scores (p=.011). ConclusionsOur findings suggest that child psychopathology seems to be associated with delayed maturation of the DMN. This delay in the neurodevelopmental trajectory may offer interesting insights into the pathophysiology of mental health disorders.en
dc.description.affiliationCenter of Mathematics Computation and Cognition, Universidade Federal do ABC - Santo Andre, Brazil
dc.description.affiliationInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
dc.description.affiliationDepartment of Radiology, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
dc.description.affiliationNational Institute of Developmental Psychiatry for Children and Adolescents, CNPq, Sao Paulo, Brazil
dc.description.affiliationDepartment of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
dc.description.affiliationInstitute of Psychiatry, King's College London, London, United Kingdom
dc.description.affiliationP Catholic Univ Chile, Inst Biol & Med Engn, Fac Engn, Santiago, Chile
dc.description.affiliationP Catholic Univ Chile, Fac Med, Santiago, Chile
dc.description.affiliationP Catholic Univ Chile, Fac Biol Sci, Santiago, Chile
dc.description.affiliationBioinformatics Program, Institute of Mathematics and Statistics, University of Sao Paulo, Sao Paulo, Brazil
dc.description.affiliationUniv Sao Paulo, Sch Med, Dept Psychiat, Sao Paulo, Brazil
dc.description.affiliationUnifespInterdisciplinary Lab for Clinical Neurosciences (LiNC), Universidade Federal de Sao Paulo (UNIFESP), Sao Paulo, Brazil
dc.description.sourceWeb of Science
dc.description.sponsorshipEli-Lilly
dc.description.sponsorshipJanssen-Cilag
dc.description.sponsorshipNovartis
dc.description.sponsorshipShire
dc.description.sponsorshipJanssen
dc.description.sponsorshipLundbeck
dc.description.sponsorshipRoche
dc.description.sponsorshipFundacao E. J. Safra
dc.description.sponsorshipFundacao ABAHDS
dc.description.sponsorshipAstra-Zeneca
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)pt
dc.description.sponsorshipIDFAPESP: 2013/10498-6pt
dc.description.sponsorshipIDFAPESP: 2013/00506-1pt
dc.description.sponsorshipIDFAPESP: 2013/08531-5pt
dc.description.sponsorshipIDFAPESP: 573974/2008-0pt
dc.format.extent55-64
dc.identifierhttps://dx.doi.org/10.1111/jcpp.12444
dc.identifier.citationJournal Of Child Psychology And Psychiatry. Hoboken, v. 57, n. 1, p. 55-64, 2016.
dc.identifier.doi10.1111/jcpp.12444
dc.identifier.issn0021-9630
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/46101
dc.identifier.wosWOS:000366512500008
dc.language.isoeng
dc.publisherWiley
dc.relation.ispartofJournal Of Child Psychology And Psychiatry
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectNeurodevelopmenten
dc.subjectDefault mode networken
dc.subjectNeuroimagingen
dc.subjectPsychopathologyen
dc.subjectMVPAAttention-Deficit/Hyperactivity Disorderen
dc.subjectResting-State Fmrien
dc.subjectFunctional Connectivityen
dc.subjectCortical Thicknessen
dc.subjectMental-Disordersen
dc.subjectHealthy-Childrenen
dc.subjectBrainen
dc.subjectSchizophreniaen
dc.subjectDepressionen
dc.subjectPredictionen
dc.titleDefault mode network maturation and psychopathology in children and adolescentsen
dc.typeinfo:eu-repo/semantics/article
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