Altered brain network dynamics in youths with autism spectrum disorder
Loading...
Date
2016
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Description
The heterogeneity of behavioral manifestation
of autism spectrum disorders (ASDs) requires a model
which incorporates understanding of dynamic differences
in neural processing between ASD and typically developing
(TD) populations. We use network approach to characterization of spatiotemporal dynamics of EEG data in TD and ASD youths. EEG recorded during both wakeful rest
(resting state) and a social–visual task was analyzed using
cross-correlation analysis of the 32-channel time series
to produce weighted, undirected graphs corresponding to
functional brain networks. The stability of these networks
was assessed by novel use of the L1
-norm for matrix entries (edit distance). There were a significantly larger number of stable networks observed in the resting condition compared to the task condition in both populations. In resting state, stable networks persisted for a significantly longer time in children with ASD than in TD children; networks in ASD children also had larger diameter, indicative of long-range connectivity. The resulting analysis combines key features of microstate and network analyses of EEG.
Keywords
Network analysis, Resting state