Pubmed du 30/09/19

lundi 30 septembre 2019

1. Coskun M, Hajdini A, Alnak A, Karayagmurlu A. Internet Use Habits, Parental Control and Psychiatric Comorbidity in Young Subjects with Asperger Syndrome. J Autism Dev Disord ;2019 (Sep 28)

We aimed to investigate the characteristics of internet use in a clinical sample of 60 young subjects with Asperger Syndrome (AS) and its relationship with parental control and psychiatric comorbidity. Of the participants, 38.3% were classified as having problematic internet use (PIU). Subjects with normal internet use (NIU), compared to the subjects with PIU, had significantly higher scores on parental control scale. While there was no significant difference in terms of any comorbid diagnoses between subjects with NIU versus PIU, severity of depressive symptoms was found to predict higher scores on Young Internet Addiction Scale (YIAS). In conclusion, PIU may be common in AS and may be associated with internalizing problems, while parental control may protect against it.

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2. Lee JK, Amaral DG, Solomon M, Rogers SJ, Ozonoff S, Nordahl CW. Sex Differences in the Amygdala Resting-State Connectome of Children With Autism Spectrum Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging ;2019 (Aug 21)

BACKGROUND : Multifactorial liability models predict greater dissimilarity in the neural phenotype of autism spectrum disorder (ASD) in female individuals than in male individuals, while gender incoherence and extreme male brain models predict attenuated sex differences in ASD. The amygdala is an informative target to explore these models because it is implicated in both the neurobiology of ASD and sex differences in typical development. METHODS : This study investigated amygdala resting-state functional connectivity in a cohort of 116 children with ASD (36 female) and 58 typically developing children (27 female) 2 to 7 years of age during natural sleep. First, multivariate distance matrix regression assessed global sex and diagnostic differences across the amygdala connectome. Second, univariate general linear models identified regions with mean connectivity differences. RESULTS : Multivariate distance matrix regression revealed greater differences between typically developing children and those with ASD in females than in males, consistent with multifactorial liability models, and attenuated sex differences in the left amygdala connectome of children with ASD in a pattern consistent with the gender incoherence model. Univariate analysis identified similar sex differences in dorsomedial and ventral prefrontal cortices, lingual gyrus, and posterior cingulate cortex, but also noted that lower amygdala connectivity with superior temporal sulcus is observed across sexes. CONCLUSIONS : This study provides evidence that compared with sex-matched control subjects, ASD manifests differently in the brain at the time of diagnosis and prior to the influence of compensatory mechanisms in male and female children, consistent with multifactorial liability models, and that ASD is associated with reduced sex differences in a pattern consistent with gender incoherence models.

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