Dataset Information

Network component analysis reveals developmental trajectories of structural connectivity and specific alterations in autism spectrum disorder.

ABSTRACT: The structural organization of the brain can be characterized as a hierarchical ensemble of segregated modules linked by densely interconnected hub regions that facilitate distributed functional interactions. Disturbances to this network may be an important marker of abnormal development. Recently, several neurodevelopmental disorders, including autism spectrum disorder (ASD), have been framed as disorders of connectivity but the full nature and timing of these disturbances remain unclear. In this study, we use non-negative matrix factorization, a data-driven, multivariate approach, to model the structural network architecture of the brain as a set of superposed subnetworks, or network components. In an openly available dataset of 196 subjects scanned between 5 and 85 years we identify a set of robust and reliable subnetworks that develop in tandem with age and reflect both anatomically local and long-range, network hub connections. In a second experiment, we compare network components in a cohort of 51 high-functioning ASD adolescents to a group of age-matched controls. We identify a specific subnetwork representing an increase in local connection strength in the cingulate cortex in ASD (t?=?3.44, P?

SUBMITTER: Ball G

PROVIDER: S-EPMC6866922 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Network component analysis reveals developmental trajectories of structural connectivity and specific alterations in autism spectrum disorder.

Ball Gareth G Beare Richard R Seal Marc L ML

Human brain mapping 20170531 8

The structural organization of the brain can be characterized as a hierarchical ensemble of segregated modules linked by densely interconnected hub regions that facilitate distributed functional interactions. Disturbances to this network may be an important marker of abnormal development. Recently, several neurodevelopmental disorders, including autism spectrum disorder (ASD), have been framed as disorders of connectivity but the full nature and timing of these disturbances remain unclear. In th ...[more]

PMID: 28560746

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Project description:Purpose:The need for community-viable, evidence-based intervention strategies for toddlers with autism spectrum disorder (ASD) is a national priority. The purpose of this research forum article is to identify gaps in intervention research and needs in community practice for toddlers with ASD, incorporate published findings from a randomized controlled trial (RCT) of the Early Social Interaction (ESI) model (Wetherby et al., 2014) to illustrate community-based intervention, report new findings on child active engagement from the ESI RCT, and offer solutions to bridge the research-to-community practice gap. Method:Research findings were reviewed to identify gaps in the evidence base for toddlers with ASD. Published and new findings from the multisite ESI RCT compared the effects of two different ESI conditions for 82 toddlers with ASD to teach parents how to support active engagement in natural environments. Results:The RCT of the ESI model was the only parent-implemented intervention that reported differential treatment effects on standardized measures of child outcomes, including social communication, developmental level, and adaptive behavior. A new measure of active engagement in the natural environment was found to be sensitive to change in 3 months for young toddlers with ASD and to predict outcomes on the standardized measures of child outcomes. Strategies for utilizing the Autism Navigator collection of web-based courses and tools using extensive video footage for families and professional development are offered for scaling up in community settings to change developmental trajectories of toddlers with ASD. Conclusions:Current health care and education systems are challenged to provide intervention of adequate intensity for toddlers with ASD. The use of innovative technology can increase acceleration of access to evidence-based early intervention for toddlers with ASD that addresses health disparities, enables immediate response as soon as ASD is suspected, and rapidly bridges the research-to-practice gap.

Dataset Information

Network component analysis reveals developmental trajectories of structural connectivity and specific alterations in autism spectrum disorder.

Publications

Network component analysis reveals developmental trajectories of structural connectivity and specific alterations in autism spectrum disorder.

Similar Datasets

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