Information-theoretical analysis of resting state EEG microstate sequences - non-Markovianity, non-s...
Information-theoretical analysis of resting state EEG microstate sequences - non-Markovianity, non-stationarity and periodicities
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United States: Elsevier Inc
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English
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United States: Elsevier Inc
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Contents
We present an information-theoretical analysis of temporal dependencies in EEG microstate sequences during wakeful rest. We interpret microstate sequences as discrete stochastic processes where each state corresponds to a representative scalp potential topography. Testing low-order Markovianity of these discrete sequences directly, we find that non...
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Information-theoretical analysis of resting state EEG microstate sequences - non-Markovianity, non-stationarity and periodicities
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TN_cdi_proquest_miscellaneous_1915878794
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1915878794
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ISSN
1053-8119
E-ISSN
1095-9572
DOI
10.1016/j.neuroimage.2017.06.062