Sparse Bayesian modeling of hierarchical independent component analysis: Reliable estimation of individual differences in brain networks.
Biometrics December 2023 Joshua Lukemire, Giuseppe Pagnoni, Ying Guo
Independent component analysis (ICA) is one of the leading approaches for studying brain functional networks. There is increasing interest in neuroscience studies to investigate individual differences in brain networks and their association with demographic characteristics and clinical outcomes. In this work, we develop a sparse Bayesian group hierarchical ICA model that offers significant...
DOI: 10.1111/biom.13867 (opens in new tab)
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Blind source separation
Individual network differences
Neuroimaging data analysis