Analytical and empirical fluctuation functions of the EEG microstate random walk - Short-range vs. long-range correlations
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- 作者：F. von Wegnera ; b ; fredericvon.wegner@kgu.de" class="auth_mail" title="E-mail the corresponding author ; E. Tagliazucchib ; c ; V. Brodbeckb ; H. Laufsb ; c
- 关键词：EEG ; Resting state ; Microstates ; Markov process ; Scaling ; Long-range correlations ; Hurst parameter
- 刊名：NeuroImage
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：141
- 期：Complete
- 页码：442-451
- 全文大小：1950 K
文摘
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To analyze long-range correlations, short-range (exponentially) correlated models should be used as a null hypothesis.
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Resting state EEG microstate sequences are often not distinguishable from a first-order Markov null hypothesis.
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Point estimates of the Hurst parameter, though H>0.5, are frequently not different from Markov surrogates.
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Different partitions of the microstate state space give different answers to the question if H>0.5.
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Hurst parameter estimates from different algorithms answer the LRD question for microstate random walks inconsistently.