Changes in EEG multiscale entropy and power‐law frequency scaling during the human sleep cycle

We explored changes in multiscale brain signal complexity and power‐law scaling exponents of electroencephalogram (EEG) frequency spectra across several distinct global states of consciousness induced in the natural physiological context of the human sleep cycle. We specifically aimed to link EEG co...

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Bibliographic Details
Published in:Human brain mapping 2019-02, Vol.40 (2), p.538-551
Main Authors: Miskovic, Vladimir, MacDonald, Kevin J., Rhodes, L. Jack, Cote, Kimberly A.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Brain
Cerebral Cortex - physiology
Complexity
Cortex
EEG
Electroencephalography
Electroencephalography - methods
Entropy
Female
Frequency spectrum
Humans
Male
Nonlinear systems
Nonlinearity
Polysomnography
Power spectra
Scaling
Sleep
Sleep Stages - physiology
Stochasticity
Time dependence
Young Adult
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Summary:We explored changes in multiscale brain signal complexity and power‐law scaling exponents of electroencephalogram (EEG) frequency spectra across several distinct global states of consciousness induced in the natural physiological context of the human sleep cycle. We specifically aimed to link EEG complexity to a statistically unified representation of the neural power spectrum. Further, by utilizing surrogate‐based tests of nonlinearity we also examined whether any of the sleep stage‐dependent changes in entropy were separable from the linear stochastic effects contained in the power spectrum. Our results indicate that changes of brain signal entropy throughout the sleep cycle are strongly time‐scale dependent. Slow wave sleep was characterized by reduced entropy at short time scales and increased entropy at long time scales. Temporal signal complexity (at short time scales) and the slope of EEG power spectra appear, to a large extent, to capture a common phenomenon of neuronal noise, putatively reflecting cortical balance between excitation and inhibition. Nonlinear dynamical properties of brain signals accounted for a smaller portion of entropy changes, especially in stage 2 sleep.
ISSN:1065-9471
1097-0193
1097-0193
DOI:10.1002/hbm.24393