FV 8 Quantifying consciousness in healthy adults using EEG phase coherence. (May 2022)

• Record Type: Journal Article
• Authors: Hermann, G.; Tödt, I.; Laufs, H.; Tagliazucchi, E.; von Wegner, F.
• Is Part Of: Clinical neurophysiology. Volume 137(2022)
• Page Start: e5
• Page End: e6
• Publication Date: 2022-05
• Subjects: Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2022.01.016
• Languages: English
• ISSNs: 1388-2457

Abstract

Abstract : Background: Phase coherence (PC) is an extensively researched parameter for functional connectivity (FC) based on EEG data [1]. Functional connectivity quantifies the temporal interdependency between activity of spatially separated brain regions [2]. It can help to describe different brain states. Objective: This study investigates PC in healthy adults in wakefulness and non-REM sleep. We aim to evaluate, whether PC distinguishes different states of consciousness, and we use sleep as an example. Methods: We measured resting state EEG in 53 healthy volunteers (20–40 y, 35 females). For three-minute segments per sleep stage, we extracted the phase of the Hilbert transform and calculated the PC. As PC values were not normally distributed, we used Wilcoxon signed-rank tests for statistical analysis considering the different frequency bands (delta, theta, alpha, beta) and sleep stages (W, N1, N2, N3). Results: Alpha-frequency PC was significantly higher in W than in N1, N2, N3 (Fig. 1). In contrast, delta coupling increased with sleep depth. It was lower in wakefulness and light sleep (N1, N2) than during deep sleep (Fig. 1). Within the beta- and theta-frequency bands PC did not differ significantly between stages. Conclusions: Functional connectivity, as measured by PC, differed between sleep stages in a frequency-specific manner – corresponding to sleep stage-specific dominant frequencies as observed in clinical EEG. Sleep-like PC patterns different to those observed during wakefulness might serve to identify reduced consciousness in pathologic conditions like epilepsy or neurodegenerative diseases. References: [1] F. Mormann, K. Lehnertz, P. David, and C. E. Elger, "Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients, " Phys. D Nonlinear Phenom., vol. 144, no. 3–4, pp. 358–369, 2000, doi: 10.1016/S0167-2789(00)00087-7. [2] K. J. Friston, "Functional and Effective Connectivity in Neuroimaging: A Synthesis, " Hum. Brain Mapp., no. 2, pp. 56–78, 1994, doi: 10.1002/hbm.460020107. Legend Figure 1: Phase coherence (PC) per subject, sleep stage and frequency band. Means of PC over n = 53 healthy adults within the different frequency bands (delta, theta, alpha, beta) and for each sleep stage (W, N1, N2, N3). Each row represents one subject, not all of whom exhibited all sleep stages (white fields). Significant differences (Bonferroni-corrected, p < 0.01 indicated with asterisks) can be seen primarily for alpha- and delta-coupling.