Temporal EEG dynamics of non-REM sleep episodes in humans

Citation
H. Tagaya et al., Temporal EEG dynamics of non-REM sleep episodes in humans, BRAIN RES, 861(2), 2000, pp. 233-240
Citations number
25
Categorie Soggetti
Neurosciences & Behavoir
Journal title
BRAIN RESEARCH
ISSN journal
00068993 → ACNP
Volume
861
Issue
2
Year of publication
2000
Pages
233 - 240
Database
ISI
SICI code
0006-8993(20000410)861:2<233:TEDONS>2.0.ZU;2-M
Abstract
The process of the human non-rapid eye movement (non-REM) sleep period has not been clarified. Time-based analysis on sleep EEG may provide an explana tion. We focused on chronological aspects of initiation and termination of non-REM episodes, using spectral analysis of sleep EEG. The subjects were h ealthy male volunteers (n = 32, mean age +/- S.D.: 25.5 +/- 3.5 years). The rise latencies from non-REM sleep onset to the maximal power value and the decay latencies from the maximal power value to non-REM sleep offset were determined in the initial and final 21-min windows of individual non-REM ep isodes in each EEG band ranges. Low (12.1-13.7 Hz) and high (14.1-16.0 Hz) sigma ranges were analyzed separately. The rise and decay latencies were sh orter in higher frequency ranges (> 14 Hz) and longer in lower frequency ra nges (< 14 Hz). There were significant differences in the rise and decay la tencies between low and high sigma ranges, indicating that the whole freque ncy ranges were clearly separated at the middle of the sigma range (14 Hz). The rise and decay latencies were significantly different in lower frequen cy ranges. The clock time of the night significantly affected only the rise latencies of the delta (0.78-3.9 Hz), alpha (8.2-11.7 Hz) and low sigma (1 2.1-13.7 Hz) ranges. In conclusion, initiation and termination of non-REM s leep was represented by higher frequency ranges, whereas further evolution and devolution of non-REM sleep was represented by lower frequency ranges, and only the evolution process was affected by the clock time of the night. (C) 2000 Published by Elsevier Science B.V. All rights reserved.