Dw. Gross et J. Gotman, Correlation of high-frequency oscillations with the sleep-wake cycle and cognitive activity in humans, NEUROSCIENC, 94(4), 1999, pp. 1005-1018
While several authors have suggested that high-frequency electroencephalogr
am activity (gamma, >30 Hz) correlates with conscious thought, others have
suggested that electroencephalogram activity >30Hz shows the same relations
hips to cognitive activity and sleep as activity in the conventional beta f
requency band. The existence of coherence of gamma over large distances als
o remains controversial. We studied quantitatively the relationship of gamm
a activity to the sleep-wake cycle and cognitive tasks during wakefulness i
n humans using intracranial electroencephalogram. Gamma activity made up le
ss than 1% of the total power spectrum. A significant relationship was obse
rved between gamma activity and the sleep-wake cycle such that gamma was hi
ghest during wakefulness, intermediate during light and rapid eye movement
sleep, and lowest during slow-wave sleep. As well, gamma was higher during
rapid eye movement sleep with eye movements than during rapid eye movement
sleep without eye movements. During a cognitive task experiment, while lowe
r frequencies, including beta, showed a stepwise reduction with increasing
task difficulty, gamma was observed to increase during cognitive tasks as c
ompared to the resting state. The relationship between gamma and the sleep-
wake cycle and cognitive tasks was independent of brain region and hemisphe
re. Coherence of gamma activity at distances of 5 mm and greater was not ob
served.
Our data support previously reported findings that gamma activity has a sig
nificant relationship to the sleep-wake cycle. The findings of differences
in gamma during REM sleep with and without eye movements suggest that the p
resence or absence of eye movements may reflect two different states of bra
in activity. Our findings of differences in the relationships of the beta a
nd gamma bands to both the sleep-wake cycle and cognitive tasks demonstrate
that various components of the high-frequency spectrum behave differently
in some situations. (C) 1999 IBRO. Published by Elsevier Science Ltd.