Individual Deviation-Based Functional Hypergraph for Identifying Subtypes of Autism Spectrum Disorder.

ABSTRACT: Heterogeneity has been one of the main barriers to understanding and treatment of autism spectrum disorder (ASD). Previous studies have identified several subtypes of ASD through unsupervised clustering analysis. However, most of them primarily depicted the pairwise similarity between individuals through second-order relationships, relying solely on patient data for their calculation. This leads to an underestimation of the complexity inherent in inter-individual relationships and the diagnostic information provided by typical development (TD). To address this, we utilized an elastic net model to construct an individual deviation-based hypergraph (ID-Hypergraph) based on functional MRI data. We then conducted a novel community detection clustering algorithm to the ID-Hypergraph, with the a

SUBMITTER: Li J 

PROVIDER: S-EPMC11352392 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature