Multisite evaluation of BrainNetCNN for ADHD classification from static and dynamic rs-fMRI functional connectivity

Attention-Deficit/Hyperactivity Disorder (ADHD) has been associated with altered integration across large-scale brain networks. Temporal fluctuations in functional organization and differences between acquisition centers complicate classification based on resting-state functional magnetic resonance imaging (rs-fMRI). This study used BrainNetCNN as the reference architecture to examine how region-of-interest (ROI) dimensionality, connectivity representation, network design, window configuration…

via https://pubmed.ncbi.nlm.nih.gov/42843755/?utm_source=Other&utm_medium=rss&utm_campaign=None&utm_content=1lqZ3NPYysePVKsoyz66mDSgu4veDGJwnUBS47TBQPoOuNZY5J&fc=None&ff=20261016011006&v=2.20.1


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