Article
Entropy-based integration index for quantifying network integration in resting-state functional MRI
2026-06-26
Abstract excerpt
Independent component analysis (ICA) is widely used in resting-state fMRI to identify large-scale functional networks; however, existing approaches provide limited means of quantifying how network representations are distributed across independent components. We introduce an entropy-based network integration framework that characterizes the organizational architecture of canonical resting-state networks by quantif...
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Identifiers and source
- Literature Corpus work
- 439bcbf3-a973-56e4-b49d-d8d011cf0ef6
- DOI
- 10.64898/2026.06.22.733307
