Default mode network maturation and psychopathology in children and adolescents

Default mode network maturation and psychopathology in children and adolescents

Author Sato, Joao Ricardo Autor UNIFESP Google Scholar
Salum, Giovanni Abrahao Google Scholar
Gadelha, Ary| Autor UNIFESP Google Scholar
Vieira, Gilson Google Scholar
Manfro, Gisele Gus Google Scholar
Zugman, Andre Autor UNIFESP Google Scholar
Picon, Felipe Almeida Google Scholar
Pan, Pedro Mario Autor UNIFESP Google Scholar
Hoexter, Marcelo Queiroz Autor UNIFESP Google Scholar
Anes, Mauricio Google Scholar
Moura, Luciana Monteiro Autor UNIFESP Google Scholar
Gomes Del'Aquilla, Marco Antonio Autor UNIFESP Google Scholar
Amaro, Edson, Jr. Google Scholar
McGuire, Philip Google Scholar
Tavares Lacerda, Acioly Luiz Autor UNIFESP Google Scholar
Rohde, Luis Augusto Google Scholar
Miguel, Euripedes Constantino Google Scholar
Jackowski, Andrea Parolin Autor UNIFESP Google Scholar
Bressan, Rodrigo Affonseca Autor UNIFESP Google Scholar
Crossley, Nicolas Google Scholar
Abstract BackgroundThe 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.
Keywords Neurodevelopment
default mode network
neuroimaging
psychopathology
MVPAAttention-Deficit/Hyperactivity Disorder
Resting-State Fmri
Functional Connectivity
Cortical Thickness
Mental-Disorders
Healthy-Children
Brain
Schizophrenia
Depression
Prediction
Language English
Sponsor Eli-Lilly
Janssen-Cilag
Novartis
Shire
Janssen
Lundbeck
Roche
Fundacao E. J. Safra
Fundacao ABAHDS
Astra-Zeneca
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Grant number FAPESP: 2013/10498-6
FAPESP: 2013/00506-1
FAPESP: 2013/08531-5
FAPESP: 573974/2008-0
Date 2016
Published in Journal Of Child Psychology And Psychiatry. Hoboken, v. 57, n. 1, p. 55-64, 2016.
ISSN 0021-9630 (Sherpa/Romeo, impact factor)
Publisher Wiley
Extent 55-64
Origin http://dx.doi.org/10.1111/jcpp.12444
Access rights Closed access
Type Article
Web of Science ID WOS:000366512500008
URI http://repositorio.unifesp.br/handle/11600/49710

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