Estimating dynamic connectivity states in fMRI using regime-switching factor models
We consider the challenges in estimating the state-related changes in brain connectivity networks with a large number of nodes. Existing studies use the sliding-window analysis or time-varying coefficient models, which are unable to capture both smooth and abrupt changes simultaneously, and rely on...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers Inc.
2018
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