Please use this identifier to cite or link to this item: http://repositorio.unifesp.br/handle/11600/49710
Title: Default mode network maturation and psychopathology in children and adolescents
Authors: Sato, Joao Ricardo [UNIFESP]
Salum, Giovanni Abrahao
Gadelha, Ary| [UNIFESP]
Vieira, Gilson
Manfro, Gisele Gus
Zugman, Andre [UNIFESP]
Picon, Felipe Almeida
Pan, Pedro Mario [UNIFESP]
Hoexter, Marcelo Queiroz [UNIFESP]
Anes, Mauricio
Moura, Luciana Monteiro [UNIFESP]
Gomes Del'Aquilla, Marco Antonio [UNIFESP]
Amaro, Edson, Jr.
McGuire, Philip
Tavares Lacerda, Acioly Luiz [UNIFESP]
Rohde, Luis Augusto
Miguel, Euripedes Constantino
Jackowski, Andrea Parolin [UNIFESP]
Bressan, Rodrigo Affonseca [UNIFESP]
Crossley, Nicolas
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
Issue Date: 2016
Publisher: Wiley
Citation: Journal Of Child Psychology And Psychiatry. Hoboken, v. 57, n. 1, p. 55-64, 2016.
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.
URI: http://repositorio.unifesp.br/handle/11600/49710
ISSN: 0021-9630
Other Identifiers: http://dx.doi.org/10.1111/jcpp.12444
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