Modelling state‐transition dynamics in resting‐state brain signals by the hidden Markov and Gaussian mixture models is a research paper published in European Journal of Neuroscience (2021). On theSindex it has a DataRank of 0. It has been cited 24 times.
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Japan Society for the Promotion of Science
Grant: 20H01789
NIMH NIH HHS
Grant: U54 MH091657
National Institutes of Health
Grant: 3U54MH091657-03S1
Mapping the Human Connectome: Structure, Function, and Heritability
FWCI
1.69
Citation Percentile
0.8%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of State-transition dynamics of resting-state functional magnetic resonance imaging data: model comparison and test-to-retest analysis
Additional file 1 of State-transition dynamics of resting-state functional magnetic resonance imaging data: model comparison and test-to-retest analysis
Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models