Short-term sleep deprivation: considering brain rhythm coordination in the context of an integrated neural network

Abstract

The dynamics of electrical activity of the brain in various physiological states are traditionally studied by analyzing dominant rhythms separately. However, in recent years the concept of cross-communication of different cortical rhythms has also been discussed. Using this concept, we study the effects of 1-day sleep deprivation on the coordination of rhythm pairs and compare two methods for assessing their cross-correlations: the Pearson correlation coefficient (PCC) and detrended cross-correlation analysis (DCCA) with its extended version. We show that the latter approach may reveal differences in electrocorticogram (ECoG) signals for a larger number of pairs.