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Open AccessJournal ArticleDOI

White Matter Microstructure and Atypical Visual Orienting in 7-Month-Olds at Risk for Autism

TLDR
Visual orienting latencies were longer in 7-month-old infants who expressed ASD symptoms at 25 months compared with both high-risk negative infants and low-risk infants, and abnormal functional specialization of posterior cortical circuits directly informs a novel model of ASD pathogenesis.
Abstract
Specific differences in visual orienting, critical in social-cognitive development, are associated with differences in white matter microstructure of the splenium.

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The role of cerebellar circuitry alterations in the pathophysiology of autism spectrum disorders

TL;DR: It is proposed that cerebellar circuits may prove to be promising targets for therapeutic development aimed at rescuing sensorimotor and other clinical symptoms of different forms of ASD.
Journal ArticleDOI

Studying Autism Spectrum Disorder with Structural and Diffusion Magnetic Resonance Imaging: A Survey.

TL;DR: This survey demonstrates the absence of consistent pathology in the brains of autistic children and lack of research investigations in patients under 2 years of age in the literature.
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Prospective examination of visual attention during play in infants at high-risk for autism spectrum disorder: A longitudinal study from 6 to 36 months of age

TL;DR: This prospective longitudinal study is the first to describe the development of components of visual attention, including engaging, sustaining, and disengaging attention, in infants at high-risk of developing ASD (each with an older sibling with ASD).
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Developmental change in look durations predicts later effortful control in toddlers at familial risk for ASD

TL;DR: The finding that prolonged attention to faces may be an early indicator of disruption to the executive attention system is of potential value in screening for infants at risk for later EF difficulties and for evaluation of intervention outcomes.
Journal ArticleDOI

Identification of infants at high-risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks.

TL;DR: The feasibility of using machine learning techniques for identifying high‐risk ASD infants at as early as six months after birth is demonstrated and a novel multikernel support vector machine classification framework is proposed by using the connectivity features gathered from WM connectivity networks.
References
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Journal ArticleDOI

Autism Diagnostic Interview-Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders

TL;DR: The revised interview has been reorganized, shortened, modified to be appropriate for children with mental ages from about 18 months into adulthood and linked to ICD-10 and DSM-IV criteria.
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Neural Mechanisms of Selective Visual Attention

TL;DR: The two basic phenomena that define the problem of visual attention can be illustrated in a simple example and selectivity-the ability to filter out un­ wanted information is illustrated.
Journal ArticleDOI

The Attention System of the Human Brain

TL;DR: Illustration de trois fonctions principales qui sont predominantes dans l'etude de l'intervention de l'sattention dans les processus cognitifs: 1) orientation vers des evenements sensoriels; 2) detection des signaux par processus focal; 3) maintenir la vigilance en etat d'alerte
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Nonrigid registration using free-form deformations: application to breast MR images

TL;DR: The results clearly indicate that the proposed nonrigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.
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