Abstract #3909

Local and Distant Communications in Sleeping Brain Modeled by Multiscale Entropy

Yi-Chia Kung¹, ChangWei Wesley Wu^2,3, 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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