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Abstract #3909

Local and Distant Communications in Sleeping Brain Modeled by Multiscale Entropy

Yi-Chia Kung1, ChangWei Wesley Wu2,3, Pei-Jung Tsai4, Chia-Wei Lee5, Chun-Yi Zac Lo6, and Ching-Po Lin1
1Institute of Neuroscience, National Yang-Ming University, Taipei, Taiwan, 2Graduate Institute of Mind, Brain and Consciousness, Taipei Medical University, Taipei, Taiwan, 3Research Center of Brain and Consciousness, Shuang-Ho Hospital, New Taipei, Taiwan, 4Institute on Drug Abuse, National Institutes of Health, Baltimore, MD, United States, 5Department of Radiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan, 6Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Shanghai, China

Multiscale entropy (MSE) was used to disclose the mixture between functional integration and segregation of brain circuits across NREM sleep. MSE showed N0>N2 and N1>N2 in Scale 1, accompanied with N2>N1 and N2>N3 in Scale 3. The scale-dependent entropy reflects distinct aspects of information processing in the sleeping brain: brain tends to distribute information distantly during the N2 stage and disintegrate both locally and distantly at the N3 stage.

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