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Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 29, 2012 - Issue 4
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Research Article

Quantification of Sleepiness Through Principal Component Analysis of the Electroencephalographic Spectrum

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Pages 509-522 | Received 18 Nov 2011, Accepted 21 Jan 2012, Published online: 05 Apr 2012
 

Abstract

Although circadian and sleep research has made extraordinary progress in the recent years, one remaining challenge is the objective quantification of sleepiness in individuals suffering from sleep deprivation, sleep restriction, and excessive somnolence. The major goal of the present study was to apply principal component analysis to the wake electroencephalographic (EEG) spectrum in order to establish an objective measure of sleepiness. The present analysis was led by the hypothesis that in sleep-deprived individuals, the time course of self-rated sleepiness correlates with the time course score on the 2nd principal component of the EEG spectrum. The resting EEG of 15 young subjects was recorded at 2-h intervals for 32–50 h. Principal component analysis was performed on the sets of 16 single-Hz log-transformed EEG powers (1–16 Hz frequency range). The time course of self-perceived sleepiness correlated strongly with the time course of the 2nd principal component score, irrespective of derivation (frontal or occipital) and of analyzed section of the 7-min EEG record (2-min section with eyes open or any of the five 1-min sections with eyes closed). This result indicates the possibility of deriving an objective index of physiological sleepiness by applying principal component analysis to the wake EEG spectrum. (Author correspondence: [email protected])

ACKNOWLEDGMENTS

The experimental study was supported by the grants from the Russian Foundation for Basic Research and the Russian Foundation for Humanities (07-06-00263a, 08-04-01071-a, 10-06-00114-a, 06-06-00375-a, and 12-06-18001-e). The authors wish to thank three anonymous reviewers for helpful criticism and thoughtful suggestions.

Declaration of Interest: The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

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