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Sato, Joao Ricardo ^{[1, 2, 3, 4]} ; Biazoli, Jr., Claudinei Eduardo ^{[1, 3]} ; Salum, Giovanni Abrahao ^{[5, 2]} ; Gadelha, Ary ^{[2, 4]} ; Crossley, Nicolas ^[6] ; Satterthwaite, Theodore D. ^[7] ; Vieira, Gilson ^{[3, 8]} ; Zugman, Andre ^{[2, 4]} ; Picon, Felipe Almeida ^[2] ; Pan, Pedro Mario ^{[2, 4]} ; Hoexter, Marcelo Queiroz ^{[2, 9, 4]} ; Anes, Mauricio ^{[5, 2]} ; Moura, Luciana Monteiro ^{[2, 4]} ; Gomes Del'aquilla, Marco Antonio ^{[2, 4]} ; Amaro, Jr., Edson ^[3] ; Mcguire, Philip ^[6] ; Lacerda, Acioly L. T. ^{[2, 4]} ; Rohde, Luis Augusto ^{[5, 2]} ; Miguel, Euripedes Constantino ^{[2, 9]} ; Jackowski, Andrea Parolin ^{[2, 4]} ; Bressan, Rodrigo Affonseca ^{[2, 4]}

Afiliação do(s) autor(es)

^[1] Univ Fed ABC, Ctr Math Computat & Cognit, Santo Andre - Brazil

^[2] CNPq, Natl Inst Dev Psychiat Children & Adolescents, Sao Paulo - Brazil

^[3] Univ Sao Paulo, Sch Med, Dept Radiol, Sao Paulo - Brazil

^[4] Univ Fed Sao Paulo UNIFESP, Interdisciplinary Lab Clin Neurosci LiNC, Sao Paulo - Brazil

^[5] Univ Fed Rio Grande do Sul, Dept Psychiat, Porto Alegre, RS - Brazil

^[6] Kings Coll London, Inst Psychiat, London - England

^[7] Univ Penn, Perelman Sch Med, Dept Psychiat, Philadelphia, PA 19104 - USA

^[8] Univ Sao Paulo, Inst Math & Stat, Bioinformat Program, Sao Paulo - Brazil

^[9] Univ Sao Paulo, Sch Med, Dept Psychiat, Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Human Brain Mapping; v. 36, n. 12, p. 4926-4937, DEC 2015.
• Citações Web of Science: 9

Resumo

Abnormal connectivity patterns have frequently been reported as involved in pathological mental states. However, most studies focus on ``static,{''} stationary patterns of connectivity, which may miss crucial biological information. Recent methodological advances have allowed the investigation of dynamic functional connectivity patterns that describe non-stationary properties of brain networks. Here, we introduce a novel graphical measure of dynamic connectivity, called time-varying eigenvector centrality (tv-EVC). In a sample 655 children and adolescents (7-15 years old) from the Brazilian ``High Risk Cohort Study for Psychiatric Disorders{''} who were imaged using resting-state fMRI, we used this measure to investigate age effects in the temporal in control and default-mode networks (CN/DMN). Using support vector regression, we propose a network maturation index based on the temporal stability of tv-EVC. Moreover, we investigated whether the network maturation is associated with the overall presence of behavioral and emotional problems with the Child Behavior Checklist. As hypothesized, we found that the tv-EVC at each node of CN/DMN become more stable with increasing age (P < 0.001 for all nodes). In addition, the maturity index for this particular network is indeed associated with general psychopathology in children assessed by the total score of Child Behavior Checklist (P = 0.027). Moreover, immaturity of the network was mainly correlated with externalizing behavior dimensions. Taken together, these results suggest that changes in functional network dynamics during neurodevelopment may provide unique insights regarding pathophysiology. (C) 2015 Wiley Periodicals, Inc. (AU)

• Processo FAPESP: 13/00506-1 - Séries Temporais, Ondaletas e Análise de Dados Funcionais
• Beneficiário: Pedro Alberto Morettin
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 13/10498-6 - Aprendizado de máquina em neuroimagem: desenvolvimento de métodos e aplicações clínicas em transtornos psiquiátricos.
• Beneficiário: João Ricardo Sato
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 08/57896-8 - O instituto nacional da psiquiatria do desenvolvimento: uma nova abordagem para a psiquiatria tendo como foco as nossas criancas e o seu futuro
• Beneficiário: Eurípedes Constantino Miguel Filho
• Modalidade de apoio: Auxílio à Pesquisa - Temático