Changes in EEG multiscale entropy and power-law frequency scaling during the human sleep cycle
| Autor: | Vladimir Miskovic, Kevin J. MacDonald, Kimberly A. Cote, L. Jack Rhodes |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Adolescent Entropy Polysomnography Electroencephalography Power law 050105 experimental psychology Young Adult 03 medical and health sciences 0302 clinical medicine medicine Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging Statistical physics Frequency scaling Scaling Research Articles Slow-wave sleep Cerebral Cortex Physics Quantitative Biology::Neurons and Cognition Radiological and Ultrasound Technology medicine.diagnostic_test 05 social sciences Spectral density Neurology Neuronal noise Female Sleep Stages Neurology (clinical) Anatomy 030217 neurology & neurosurgery |
| Zdroj: | Hum Brain Mapp |
| ISSN: | 1065-9471 |
| DOI: | 10.1002/hbm.24393 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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