Multi-site clustering and nested feature extraction for identifying autism spectrum disorder with resting-state fMRI

• Published in: Medical image analysis Vol. 75; p. 102279
• Main Authors: Wang, Nan, Yao, Dongren, Ma, Lizhuang, Liu, Mingxia
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.01.2022; Elsevier BV
• Subjects: Autism; Autism spectrum disorder; Autism Spectrum Disorder - diagnostic imaging; Biomarkers; Brain - diagnostic imaging; Brain Mapping; Cerebellum; Cluster Analysis; Clustering; Discriminative biomarker identification; Feature extraction; fMRI; Functional connectivity; Functional magnetic resonance imaging; Heterogeneity; Humans; Magnetic Resonance Imaging; Medical imaging; Mental disorders; Neural networks; Neuroimaging; Population studies; Singular value decomposition; Support vector machines; Training; Functional connectivity; fMRI; Discriminative biomarker identification; Autism spectrum disorder
• ISSN: 1361-8415; 1361-8423; 1361-8423
• DOI: 10.1016/j.media.2021.102279

•We propose a general framework to model inter-site heterogeneity for functional connectivity based brain disease identification, and it can be directly applied to other multi-site applications with resting-state functional MRI (rs-fMRI) data.•We design a nested singular value decomposition (SVD) me...