Functional MRI Signal Complexity Analysis Using Sample Entropy is a research paper published in Frontiers in Neuroscience (2020). On theSindex it has a DataRank of 0. It has been cited 70 times.
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NIMH NIH HHS
Grant: R01 MH111416
NINDS NIH HHS
Grant: R01 NS078095
NIMH NIH HHS
Grant: U54 MH091657
National Institutes of Health
Grant: 3U54MH091657-03S1
Mapping the Human Connectome: Structure, Function, and Heritability
National Institutes of Health
Grant: 4R01NS078095-05
Contribution of Ultra Low Frequency LFPs to Functional MRI
National Science Foundation
Grant: 1533260
INSPIRE Proposal: Spatiotemporal structure of the rs-fMRI signal reflects contributions from different types of brain activity
National Institutes of Health
Grant: 1R01MH111416-01
Spatiotemporal signatures of neural activity and neurophysiology in the BOLD signal
FWCI
3.04
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Additional file 1 of Multivariate multiscale entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender-related differences
Additional file 1 of Multivariate multiscale entropy (mMSE) as a tool for understanding the resting-state EEG signal dynamics: the spatial distribution and sex/gender-related differences