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Hierarchical Bayesian inference for community detection and connectivity of functional brain networks
The method can robustly detect the group-level community structure of weighted functional networks that give rise to hidden brain states with an unknown number of communities and retain the variability of individual networks.
Identification of brain states, transitions, and communities using functional MRI
Brain function relies on a precisely coordinated and dynamic balance between the functional integration and segregation of distinct neural systems.
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