Abstract
On the danger of detecting network states in white noise.
Highlights
Edited by: Nicolas Brunel, University of Chicago, USA Reviewed by: Daniele Marinazzo, University of Gent, Belgium
There is a wide array of approaches to studying such nonstationarities documented in literature (Hutchison et al, 2013), and an important but often neglected general methodological step is assessing the results against an appropriate null model corresponding to stationary process
We give an illustrative example of how a typical nonstationarity analysis can generate spurious signs of nonstationary dynamics even when applied to stationary process
Summary
Edited by: Nicolas Brunel, University of Chicago, USA Reviewed by: Daniele Marinazzo, University of Gent, Belgium. A commentary on Synchronization dynamics and evidence for a repertoire of network states in resting EEG by Betzel, R.
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