Issue |
EPL
Volume 112, Number 1, October 2015
|
|
---|---|---|
Article Number | 18001 | |
Number of page(s) | 6 | |
Section | Interdisciplinary Physics and Related Areas of Science and Technology | |
DOI | https://doi.org/10.1209/0295-5075/112/18001 | |
Published online | 14 October 2015 |
Scaling behavior of EEG amplitude and frequency time series across sleep stages
1 Institut für Physik, Martin-Luther-Universität Halle-Wittenberg - von-Seckendorff-Platz 1, 06099 Halle, Germany
2 Schlafmedizinisches Zentrum der Charité Berlin - Luisenstraße 13a, 10117 Berlin, Germany
3 Department of Neurosciences, Medical University of South Carolina - 96 Jonathan Lucas St., Charleston SC, USA
(a) jan.kantelhardt@physik.uni-halle.de
Received: 26 June 2015
Accepted: 25 September 2015
We study short-term and long-term persistence properties (related with auto-correlations) of amplitudes and frequencies of EEG oscillations in 176 healthy subjects and 40 patients during nocturnal sleep. The amplitudes show scaling from 2 to 500 seconds (depending on the considered band) with large fluctuation exponents during (nocturnal) wakefulness (0.73–0.83) and small ones during deep sleep (0.50–0.69). Light sleep is similar to deep sleep, while REM sleep (0.64–0.76) is closer to wakefulness except for the EEG γ band. Some of the frequency time series also show long-term scaling, depending on the selected bands and stages. Only minor deviations are seen for patients with depression, anxiety, or Parkinson's disease.
PACS: 89.75.Da – Systems obeying scaling laws / 87.19.le – EEG and MEG / 05.40.-a – Fluctuation phenomena, random processes, noise, and Brownian motion
© EPLA, 2015
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.