Time-series analysis of sleep-wake stage of rat EEG using time-dependent pattern entropy |
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Authors: | Ryuji Ishizaki Toshikazu Shinba Hikaru Haraguchi |
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Institution: | a Faculty of Integrated Human Studies and Social Sciences, Fukuoka Prefectural University, Tagawa 825-8585, Japan b Stress Disorders Research Team, Tokyo Institute of Psychiatry, Tokyo 156-8585, Japan c Kagoshima University, Department of Physics, Kagoshima 890-0065, Japan |
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Abstract: | We performed electroencephalography (EEG) for six male Wistar rats to clarify temporal behaviors at different levels of consciousness. Levels were identified both by conventional sleep analysis methods and by our novel entropy method. In our method, time-dependent pattern entropy is introduced, by which EEG is reduced to binary symbolic dynamics and the pattern of symbols in a sliding temporal window is considered. A high correlation was obtained between level of consciousness as measured by the conventional method and mean entropy in our entropy method. Mean entropy was maximal while awake (stage W) and decreased as sleep deepened. These results suggest that time-dependent pattern entropy may offer a promising method for future sleep research. |
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Keywords: | 05 45 Tp 05 10 &minus a 07 05 Kf 87 10 +e |
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