Inter-individual heterogeneity of functional brain networks in children with autism spectrum disorder.

ABSTRACT:

Background

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on inter-individual heterogeneity of functional brain networks.

Methods

Resting-state functional magnetic resonance imaging data from the Autism Brain Imaging Data Exchange database were used in this study for 105 children with ASD and 102 demographically matched typical controls (TC) children. Functional connectivity (FC) networks were first obtained for ASD and TC groups, and inter-individual deviation of functional connectivity (IDFC) from the TC group was then calculated for each individual with ASD. A k-means clustering algorithm was used to obtain ASD subtypes based on IDFC patterns. The FC patte

SUBMITTER: Guo X 

PROVIDER: S-EPMC9793594 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature