Default mode network maturation and psychopathology in children and adolescents / João Ricardo SATO in Journal of Child Psychology and Psychiatry, 57-1 (January 2016)  

Public ISBD [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

Relationship Between Surface-Based Brain Morphometric Measures and Intelligence in Autism Spectrum Disorders: Influence of History of Language Delay / Joana Bisol BALARDIN in Autism Research, 8-5 (October 2015)  

Public ISBD [article]  inAutism Research > 8-5 (October 2015) . - p.556-566 Titre : Relationship Between Surface-Based Brain Morphometric Measures and Intelligence in Autism Spectrum Disorders: Influence of History of Language Delay Type de document : Texte imprimé et/ou numérique Auteurs : Joana Bisol BALARDIN, Auteur ; João Ricardo SATO, Auteur ; Gilson VIEIRA, Auteur ; Yeu FENG, Auteur ; Eileen DALY, Auteur ; Clodagh M. MURPHY, Auteur ; Mrc Aims CONSORTIUM, Auteur ; Declan MURPHY, Auteur ; Christine ECKER, Auteur Article en page(s) : p.556-566 Langues : Anglais (eng) Mots-clés : autism  Asperger syndrome  brain anatomy  intelligence Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASD) are a group of conditions that show abnormalities in the neuroanatomy of multiple brain regions. The variability in the development of intelligence and language among individuals on the autism spectrum has long been acknowledged, but it remains unknown whether these differences impact on the neuropathology of ASD. In this study, we aimed to compare associations between surface-based regional brain measures and general intelligence (IQ) scores in ASD individuals with and without a history of language delay. We included 64 ASD adults of normal intelligence (37 without a history of language delay and 27 with a history of language delay and 80 neurotypicals). Regions with a significant association between verbal and nonverbal IQ and measures of cortical thickness (CT), surface area, and cortical volume were first identified in the combined sample of individuals with ASD and controls. Thicker dorsal frontal and temporal cortices, and thinner lateral orbital frontal and parieto-occipital cortices were associated with greater and lower verbal IQ scores, respectively. Correlations between cortical volume and verbal IQ were observed in similar regions as revealed by the CT analysis. A significant difference between ASD individuals with and without a history of language delay in the association between CT and verbal IQ was evident in the parieto-occipital region. These results indicate that ASD subgroups defined on the basis of differential language trajectories in childhood can have different associations between verbal IQ and brain measures in adulthood despite achieving similar levels of cognitive performance. Autism Res 2015, 8: 556–566. © 2015 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1470 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=270 [article] Relationship Between Surface-Based Brain Morphometric Measures and Intelligence in Autism Spectrum Disorders: Influence of History of Language Delay [Texte imprimé et/ou numérique] / Joana Bisol BALARDIN, Auteur ; João Ricardo SATO, Auteur ; Gilson VIEIRA, Auteur ; Yeu FENG, Auteur ; Eileen DALY, Auteur ; Clodagh M. MURPHY, Auteur ; Mrc Aims CONSORTIUM, Auteur ; Declan MURPHY, Auteur ; Christine ECKER, Auteur . - p.556-566. Langues : Anglais (eng) in Autism Research > 8-5 (October 2015) . - p.556-566 Mots-clés : autism  Asperger syndrome  brain anatomy  intelligence Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASD) are a group of conditions that show abnormalities in the neuroanatomy of multiple brain regions. The variability in the development of intelligence and language among individuals on the autism spectrum has long been acknowledged, but it remains unknown whether these differences impact on the neuropathology of ASD. In this study, we aimed to compare associations between surface-based regional brain measures and general intelligence (IQ) scores in ASD individuals with and without a history of language delay. We included 64 ASD adults of normal intelligence (37 without a history of language delay and 27 with a history of language delay and 80 neurotypicals). Regions with a significant association between verbal and nonverbal IQ and measures of cortical thickness (CT), surface area, and cortical volume were first identified in the combined sample of individuals with ASD and controls. Thicker dorsal frontal and temporal cortices, and thinner lateral orbital frontal and parieto-occipital cortices were associated with greater and lower verbal IQ scores, respectively. Correlations between cortical volume and verbal IQ were observed in similar regions as revealed by the CT analysis. A significant difference between ASD individuals with and without a history of language delay in the association between CT and verbal IQ was evident in the parieto-occipital region. These results indicate that ASD subgroups defined on the basis of differential language trajectories in childhood can have different associations between verbal IQ and brain measures in adulthood despite achieving similar levels of cognitive performance. Autism Res 2015, 8: 556–566. © 2015 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.1470 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=270

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