Estimating High-Order Brain Functional Networks in Bayesian View for Autism Spectrum Disorder Identification

Brain functional network (BFN) has become an increasingly important tool to understand the inherent organization of the brain and explore informative biomarkers of neurological disorders. Pearson’s correlation (PC) is the most widely accepted method for constructing BFNs and provides a basis for des...

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Detalhes bibliográficos
Main Authors: Xiao Jiang, Yueying Zhou, Yining Zhang, Limei Zhang, Lishan Qiao, Renato De Leone
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2022-04-01
Colecção:Frontiers in Neuroscience
Assuntos:
brain functional network
high-order network
Pearson’s correlation
Bayesian statistics
matrix-variate normal distribution
autism spectrum disorder
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fnins.2022.872848/full
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