EEG recurrence markers and sleep quality
Department
Natural Sciences
Document Type
Article
Publication Source
Journal of the Neurological Sciences
Publication Date
2013-09-15
Volume
331
Issue
1-2
First Page
26
Last Page
30
Abstract
Objectives: To show that EEG markers formed using the variable percent recurrence reliably quantified two related aspects of sleep quality, sleep depth and sleep fragmentation. As hypotheses, the depth marker would increase and the fragmentation marker decrease in patients where improved sleep quality occurred when assessed by polysomnography. Methods: The patients (N = 20) had been diagnosed with obstructive sleep apnea during diagnostic polysomnography (dPSG), and had exhibited increased REM sleep (clinical indication of improved sleep quality) during subsequent polysomnography to titrate the pressure of a treatment device (cPSG). Percent recurrence was computed second-by-second from the EEG; sleep-depth and sleep-stability markers were obtained algorithmically. By assumption, the markers contained temporal information regarding the extent of deterministic (non-random) brain activity. Marker means were compared between the dPSG and the cPSG for NREM and REM sleep. Results: Sleep depth was greater and sleep fragmentation was less during cPSG, as hypothesized (P < 0.05). The effects occurred during NREM and REM sleep, but were greater during NREM sleep (P < 0.05). At least one of the predicted changes occurred in 95% of the patients. Conclusions: The factors generally regarded as responsible for subjective sleep quality were objectively quantified on the basis of dynamical changes in the EEG. © 2013 Published by Elsevier B.V.
Keywords
Electroencephalography, Obstructive sleep apnea, Polysomnography, Recurrence analysis, REM rebound, Sleep depth, Sleep fragmentation
DOI
10.1016/j.jns.2013.04.019
Recommended Citation
Wang, Lei; Kim, Paul Y. Y.; McCarty, David E.; Frilot, Clifton; Chesson, Andrew L.; Carrubba, Simona; and Marino, Andrew A., "EEG recurrence markers and sleep quality" (2013). Articles & Book Chapters. 290.
https://digitalcommons.daemen.edu/faculty_scholar/290
https://doi.org/10.1016/j.jns.2013.04.019