[article] 
inJournal of Child Psychology and Psychiatry > 57-1 (January 2016) . - p.55-64

Titre :	Default mode network maturation and psychopathology in children and adolescents
Type de document :	Texte imprimé et/ou numérique
Auteurs :	João Ricardo SATO, Auteur ; Giovanni A. SALUM, Auteur ; Ary GADELHA, Auteur ; Nicolas CROSSLEY, Auteur ; Gilson VIEIRA, Auteur ; Gisele Gus MANFRO, Auteur ; André ZUGMAN, Auteur ; Felipe Almeida PICON, Auteur ; Pedro M. PAN, Auteur ; Marcelo Queiroz HOEXTER, Auteur ; Mauricio ANÉS, Auteur ; Luciana Monteiro MOURA, Auteur ; Marco Antonio Gomes DEL'AQUILLA, Auteur ; Edson Amaro JR, Auteur ; Philip MCGUIRE, Auteur ; Acioly Luiz Tavares LACERDA, Auteur ; Luis Augusto ROHDE, Auteur ; Euripedes Constantino MIGUEL, Auteur ; Andrea Parolin JACKOWSKI, Auteur ; Rodrigo Affonseca BRESSAN, Auteur
Article en page(s) :	p.55-64
Langues :	Anglais (eng)
Mots-clés :	Neurodevelopment  default mode network  neuroimaging  psychopathology  MVPA
Index. décimale :	PER Périodiques
Résumé :	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.
En ligne :	http://dx.doi.org/10.1111/jcpp.12444
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=273

[article] Default mode network maturation and psychopathology in children and adolescents [Texte imprimé et/ou numérique] / João Ricardo SATO, Auteur ; Giovanni A. SALUM, Auteur ; Ary GADELHA, Auteur ; Nicolas CROSSLEY, Auteur ; Gilson VIEIRA, Auteur ; Gisele Gus MANFRO, Auteur ; André ZUGMAN, Auteur ; Felipe Almeida PICON, Auteur ; Pedro M. PAN, Auteur ; Marcelo Queiroz HOEXTER, Auteur ; Mauricio ANÉS, Auteur ; Luciana Monteiro MOURA, Auteur ; Marco Antonio Gomes DEL'AQUILLA, Auteur ; Edson Amaro JR, Auteur ; Philip MCGUIRE, Auteur ; Acioly Luiz Tavares LACERDA, Auteur ; Luis Augusto ROHDE, Auteur ; Euripedes Constantino MIGUEL, Auteur ; Andrea Parolin JACKOWSKI, Auteur ; Rodrigo Affonseca BRESSAN, Auteur . - p.55-64.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 57-1 (January 2016) . - p.55-64

Mots-clés :	Neurodevelopment  default mode network  neuroimaging  psychopathology  MVPA
Index. décimale :	PER Périodiques
Résumé :	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.
En ligne :	http://dx.doi.org/10.1111/jcpp.12444
Permalink :	https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=273