Diurnal variations of EEG power in healthy adults

Cacot, P.; Tesolin, B.; Sebban, C.

doi:10.1016/0013-4694(94)00298-y

Cited by 44 publications

(44 citation statements)

References 16 publications

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“…Diurnal variations were greatest around mid-day, which is consistent with the chronobiological literature (e.g., Cacot, Tesolin, & Sebban, 1995;Cummings, Dane, Rhodes, Lynch, & Hughes, 2000). Differences in diurnal variation of specific frequency bands will be discussed.…”

Section: Resultssupporting

confidence: 75%

Abstracts

Doppelmayr¹,

Klimesch²

2003

WNEU

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Section: Resultssupporting

confidence: 75%

Abstracts

Doppelmayr¹,

Klimesch²

2003

WNEU

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“…As shown in figure 2, no differences between snorers and OSA patients were present, suggesting that the absence of controls would not have introduced a systematic bias into the results. Moreover, the diurnal trend in EEG waking measures was not different from that reported in controls [27,28], confirming that the diurnal variation in alpha and theta powers did not correspond to that in subjective [23] and objective sleepiness [22].…”

Section: Discussionsupporting

confidence: 54%

Is waking electroencephalographic activity a predictor of daytime sleepiness in sleep-related breathing disorders?

Sforza¹,

Grandin²,

Jouny³

et al. 2002

Eur Respir J

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No data are available in the literature assessing the potential use of waking electroencephalographic (EEG) activity in the detection of excessive daytime sleepiness (EDS) in patients with sleep-related breathing disorders (SRBD). The aim of this study was to evaluate whether waking EEG spectral power reflects the level of EDS in SRBD patients.The study was performed in 48 patients in whom quantitative EEG analysis, including the alpha attenuation coefficient (AAC), was performed. Sleepiness was assessed by the Epworth Sleepiness Scale, the Stanford Sleepiness Scale, the Visual Analogue Scale and the maintenance of wakefulness test.Although AAC and EEG spectral power tended to vary throughout the day, none of these variations correlated with EDS measures. Waking EEG measures were not different between snorers and apnoeic patients. Compared to nonsleepy patients, sleepy patients had greater theta and slow alpha powers, but the differences did not reach statistical significance. The EEG slowing was independent of hypoxaemia, severity of SRBD, or degree of sleep disruption.The authors conclude that waking electroencephalographic measures are not sensitive enough to predict variation in alertness or to differentiate sleepy from nonsleepy sleeprelated breathing disorders patients. The degree of electrocephalographic slowing was related neither to sleep disruption nor to severity of sleep-related breathing disorders. [5,6] may not adequately reveal diurnal impairment in sleepy patients and they do not strongly correlate with the subjective estimation [7]. Second, a decrease in mean sleep latency in the MSLT may occur even when the subjects rated themselves as alert, suggesting that subjective estimation measures different aspects of sleepiness. Thus, neither objective nor subjective measures of alertness currently characterize the phenomenon of sleepiness with complete accuracy.Some recent studies suggest that various components of the spectral electroencephalographic (EEG) activity during wakefulness may help to detect changes in alertness. The awake alpha power with eyes-open increases when performance and alertness decrease [8], and the ratio of alpha power during eyes-closed versus eyes-open, i.e. the alpha attenuation coefficient (AAC) [9], falls in sleep-deprived subjects [10] and in narcoleptics [11]. Furthermore, awake alpha and theta powers are accurate indicators of sleep propensity, enhanced theta activity and decreased alpha activity [12,13] found when sleepiness becomes manifest.Therefore, it is reasonable to suggest that changes in waking alpha and theta EEG power, similar to those described earlier, could be expected in SRBD patients. If so, the degree of waking EEG changes would be an important predictor of reduced alertness and a useful measure of sleepiness. The main aim of the current study was to investigate the relationship between waking EEG activity and daytime sleepiness in a SRBD population. The prediction was that the alpha power and the AAC would be reduced, and that the theta pow...

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“…This result confirms that the effects of ethanol on EEGs are dependent on time-of-day consumption. It is known that alpha2 power increases in the morning and reaches a peak in the afternoon (Cacot et al, 1995). O'Boyle et al (1995) reported that the relative alpha2 power was lower than that of the control after ethanol consumption during both morning and evening, and that the differences between morning and evening were not significant.…”

Section: Discussionmentioning

confidence: 99%

Time-of-day Effects of Ethanol Consumption on EEG Topography and Cognitive Event-related Potential in Adult Males.

Liu

Higuchi

Motohashi

2000

J. Physiol. Anthropol.

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Time-of-day effects of ethanol consumption on EEG topography and cognitive event-related potential in adult males were studied. Ethanol (0.5 g/kg) or control drink was orally administered to nine healthy males at 10:00 and 18:00. The alpha2 amplitude was significantly lower than that of the control at 0.5, 2.5 and 4.5 hours after ethanol consumption in the morning. These effects were observed in the left hemisphere and were only f o un d a ft e r c o n su m p t i o n i n th e m o r n i ng . T h e subjectively rated attention was significantly lower than that of the control at 0.5 and 2.5 hours after ethanol consumption in the morning and at 0.5 hours after ethanol consumption in the evening. In contrast, the search speed of serial search task and P300 amplitude was significantly lower than that of the control at 2.5 hours after ethanol consumption in the evening. These results demonstrate that effects of ethanol are dependent on time-of-day of consumption. Ethanol consumption significantly lowered the alpha2 amplitude when consumed in the morning, and lowered P300 amplitude when consumed in the evening.

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Diurnal variations of EEG power in healthy adults

Cited by 44 publications

References 16 publications

Abstracts

Abstracts

Is waking electroencephalographic activity a predictor of daytime sleepiness in sleep-related breathing disorders?

Time-of-day Effects of Ethanol Consumption on EEG Topography and Cognitive Event-related Potential in Adult Males.

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