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

Effects of DTNBP1 genotype on brain development in children / Stefania TOGNIN in Journal of Child Psychology and Psychiatry, 52-12 (December 2011)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 52-12 (December 2011) . - p.1287-1294 Titre : Effects of DTNBP1 genotype on brain development in children Type de document : Texte imprimé et/ou numérique Auteurs : Stefania TOGNIN, Auteur ; Essi VIDING, Auteur ; Eamon J. MCCRORY, Auteur ; Lauren J. TAYLOR, Auteur ; Michael C. O'DONOVAN, Auteur ; Philip MCGUIRE, Auteur ; Andrea MECHELLI, Auteur Année de publication : 2011 Article en page(s) : p.1287-1294 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background:  Schizophrenia is a neurodevelopmental disorder, and risk genes are thought to act through disruption of brain development. Several genetic studies have identified dystrobrevin-binding protein 1 (DTNBP1, also known as dysbindin) as a potential susceptibility gene for schizophrenia, but its impact on brain development is poorly understood. The present investigation examined for the first time the effects of DTNBP1 on brain structure in children. Our hypothesis was that a genetic variation in DTNBP1 (i.e., the single nucleotide polymorphism rs2619538) would be associated with differences in both gray and white matter brain regions previously implicated in schizophrenia. Methods:  Magnetic resonance imaging and voxel-based morphometry were used to examine brain structure in 52 male children aged between 10 and 12 years. Statistical inferences on the effects of DTNBP1 genotype on gray and white matter volume (GMV and WMV) were made at p < .05 after family-wise error correction for multiple comparisons across the whole brain. Results:  Individuals homozygous for the schizophrenia high-risk allele (AA) compared with those homozygous for the low-risk allele (TT) expressed reduced GMV in the left anterior cingulate gyrus and reduced WMV in the left medial frontal area. Conclusions:  Our results suggest that genetic variation in DTNBP1 is associated with differences in gray and white matter; and that these effects are already evident in children as young as 10–12 years. These findings are consistent with the notion that the DTNBP1 genotype influences brain development and may thereby modulate vulnerability to schizophrenia. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2011.02427.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=147 [article] Effects of DTNBP1 genotype on brain development in children [Texte imprimé et/ou numérique] / Stefania TOGNIN, Auteur ; Essi VIDING, Auteur ; Eamon J. MCCRORY, Auteur ; Lauren J. TAYLOR, Auteur ; Michael C. O'DONOVAN, Auteur ; Philip MCGUIRE, Auteur ; Andrea MECHELLI, Auteur . - 2011 . - p.1287-1294. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 52-12 (December 2011) . - p.1287-1294 Index. décimale : PER Périodiques Résumé : Background:  Schizophrenia is a neurodevelopmental disorder, and risk genes are thought to act through disruption of brain development. Several genetic studies have identified dystrobrevin-binding protein 1 (DTNBP1, also known as dysbindin) as a potential susceptibility gene for schizophrenia, but its impact on brain development is poorly understood. The present investigation examined for the first time the effects of DTNBP1 on brain structure in children. Our hypothesis was that a genetic variation in DTNBP1 (i.e., the single nucleotide polymorphism rs2619538) would be associated with differences in both gray and white matter brain regions previously implicated in schizophrenia. Methods:  Magnetic resonance imaging and voxel-based morphometry were used to examine brain structure in 52 male children aged between 10 and 12 years. Statistical inferences on the effects of DTNBP1 genotype on gray and white matter volume (GMV and WMV) were made at p < .05 after family-wise error correction for multiple comparisons across the whole brain. Results:  Individuals homozygous for the schizophrenia high-risk allele (AA) compared with those homozygous for the low-risk allele (TT) expressed reduced GMV in the left anterior cingulate gyrus and reduced WMV in the left medial frontal area. Conclusions:  Our results suggest that genetic variation in DTNBP1 is associated with differences in gray and white matter; and that these effects are already evident in children as young as 10–12 years. These findings are consistent with the notion that the DTNBP1 genotype influences brain development and may thereby modulate vulnerability to schizophrenia. En ligne : http://dx.doi.org/10.1111/j.1469-7610.2011.02427.x Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=147

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