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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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/85647/ http://dx.doi.org/10.1109/TMI.2017.2780185 |
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