Leveraging population information in brain connectivity via Bayesian ICA with a novel informative prior for correlation matrices

• Published in: Biostatistics (Oxford, England) Vol. 26; no. 1
• Main Authors: Mejia, Amanda F, Bolin, David, Spencer, Daniel A, Eloyan, Ani
• Format: Journal Article
• Language: English
• Published: Oxford Oxford Publishing Limited (England) 2025; Oxford University Press
• Subjects: Algorithms; Bayesian analysis; Brain; Brain architecture; Correlation analysis; Functional magnetic resonance imaging; Functional morphology; Independent component analysis; Inference; Neural networks; Neurological diseases

Brain functional connectivity (FC), the temporal synchrony between brain networks, is essential to understand the functional organization of the brain and to identify changes due to neurological disorders, development, treatment, and other phenomena. Independent component analysis (ICA) is a matrix...