Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI

Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI

<b>Background:</b> In functional magnetic resonance imaging (fMRI), functional network connectivity (FNC) captures temporal coupling among intrinsic connectivity networks (ICNs). Traditional FNC analyses often rely on linear models, which may overlook complex nonlinear interactions. We p...

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Bibliographic Details
Main Authors: Duc My Vo, Anees Abrol, Zening Fu, Vince D. Calhoun
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:BioMed
Subjects:
schizophrenia
deep convolutional neural network
functional network connectivity
independent component analysis
resting fMRI
Online Access:https://www.mdpi.com/2673-8430/5/2/10
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