Default mode network maturation and psychopathology in children and adolescents

João Ricardo Sato; Giovanni Abrahão Salum; Ary Gadelha; Nicolas Crossley; Gilson Vieira; Gisele Gus Manfro; André Zugman; Felipe Almeida Picon; Pedro Mario Pan; Marcelo Queiroz Hoexter; Mauricio Anés; Luciana Monteiro Moura; Marco Antonio Gomes Del'Aquilla; Edson Amaro; Philip Mcguire; Acioly Luiz Tavares Lacerda; Luis Augusto Rohde; Euripedes Constantino Miguel; Andrea Parolin Jackowski; Rodrigo Affonseca Bressan

doi:10.1111/jcpp.12444

Default mode network maturation and psychopathology in children and adolescents

João Ricardo Sato^*, Giovanni Abrahão Salum, Ary Gadelha, Nicolas Crossley, Gilson Vieira, Gisele Gus Manfro, André Zugman, Felipe Almeida Picon, Pedro Mario Pan, Marcelo Queiroz Hoexter, Mauricio Anés, Luciana Monteiro Moura, Marco Antonio Gomes Del'Aquilla, Edson Amaro, Philip Mcguire, Acioly Luiz Tavares Lacerda, Luis Augusto Rohde, Euripedes Constantino Miguel, Andrea Parolin Jackowski, Rodrigo Affonseca Bressan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

30 Citations (Scopus)

Abstract

Background: The 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. Method: We 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). Results: Our 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). Conclusions: Our 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.

Original language	English
Journal	Journal of Child Psychology and Psychiatry
DOIs	https://doi.org/10.1111/jcpp.12444
Publication status	E-pub ahead of print - 26 Jun 2015

Keywords

MVPA
Default mode network
Neurodevelopment
Neuroimaging
Psychopathology

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10.1111/jcpp.12444

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Sato, J. R., Salum, G. A., Gadelha, A., Crossley, N., Vieira, G., Manfro, G. G., Zugman, A., Picon, F. A., Pan, P. M., Hoexter, M. Q., Anés, M., Moura, L. M., Del'Aquilla, M. A. G., Amaro, E., Mcguire, P., Lacerda, A. L. T., Rohde, L. A., Miguel, E. C., Jackowski, A. P., & Bressan, R. A. (2015). Default mode network maturation and psychopathology in children and adolescents. Journal of Child Psychology and Psychiatry. Advance online publication. https://doi.org/10.1111/jcpp.12444

@article{8e68156a1b6742c9b1c7515cfa2c32eb,

title = "Default mode network maturation and psychopathology in children and adolescents",

abstract = "Background: The 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. Method: We 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). Results: Our 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). Conclusions: Our 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 = "MVPA, Default mode network, Neurodevelopment, Neuroimaging, Psychopathology",

author = "Sato, {Jo{\~a}o Ricardo} and Salum, {Giovanni Abrah{\~a}o} and Ary Gadelha and Nicolas Crossley and Gilson Vieira and Manfro, {Gisele Gus} and Andr{\'e} Zugman and Picon, {Felipe Almeida} and Pan, {Pedro Mario} and Hoexter, {Marcelo Queiroz} and Mauricio An{\'e}s and Moura, {Luciana Monteiro} and Del'Aquilla, {Marco Antonio Gomes} and Edson Amaro and Philip Mcguire and Lacerda, {Acioly Luiz Tavares} and Rohde, {Luis Augusto} and Miguel, {Euripedes Constantino} and Jackowski, {Andrea Parolin} and Bressan, {Rodrigo Affonseca}",

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month = jun,

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doi = "10.1111/jcpp.12444",

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Sato, JR, Salum, GA, Gadelha, A, Crossley, N, Vieira, G, Manfro, GG, Zugman, A, Picon, FA, Pan, PM, Hoexter, MQ, Anés, M, Moura, LM, Del'Aquilla, MAG, Amaro, E, Mcguire, P, Lacerda, ALT, Rohde, LA, Miguel, EC, Jackowski, AP & Bressan, RA 2015, 'Default mode network maturation and psychopathology in children and adolescents', Journal of Child Psychology and Psychiatry. https://doi.org/10.1111/jcpp.12444

TY - JOUR

T1 - Default mode network maturation and psychopathology in children and adolescents

AU - Sato, João Ricardo

AU - Salum, Giovanni Abrahão

AU - Gadelha, Ary

AU - Crossley, Nicolas

AU - Vieira, Gilson

AU - Manfro, Gisele Gus

AU - Zugman, André

AU - Picon, Felipe Almeida

AU - Pan, Pedro Mario

AU - Hoexter, Marcelo Queiroz

AU - Anés, Mauricio

AU - Moura, Luciana Monteiro

AU - Del'Aquilla, Marco Antonio Gomes

AU - Amaro, Edson

AU - Mcguire, Philip

AU - Lacerda, Acioly Luiz Tavares

AU - Rohde, Luis Augusto

AU - Miguel, Euripedes Constantino

AU - Jackowski, Andrea Parolin

AU - Bressan, Rodrigo Affonseca

PY - 2015/6/26

Y1 - 2015/6/26

N2 - Background: The 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. Method: We 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). Results: Our 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). Conclusions: Our 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.

AB - Background: The 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. Method: We 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). Results: Our 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). Conclusions: Our 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.

KW - MVPA

KW - Default mode network

KW - Neurodevelopment

KW - Neuroimaging

KW - Psychopathology

UR - http://www.scopus.com/inward/record.url?scp=84933566120&partnerID=8YFLogxK

U2 - 10.1111/jcpp.12444

DO - 10.1111/jcpp.12444

M3 - Article

AN - SCOPUS:84933566120

SN - 0021-9630

JO - Journal of Child Psychology and Psychiatry

JF - Journal of Child Psychology and Psychiatry

ER -

Default mode network maturation and psychopathology in children and adolescents

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