睡眠电脑电图中的转换时间不可逆转性:依赖于睡眠阶段以及等值的影响
1State Key Laboratory of Organic Electronics and Information Displays, Institute of Advanced Materials, School of Chemistry and Life Sciences, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai 200433, China.
Physical review. E
|June 22, 2024
概括
电脑电图 (EEG) 信号的时间不可逆性 (TIR) 随着睡眠阶段的增加而减少. 这项研究揭示了对睡眠期间大脑活动动态的关键见解,有助于睡眠EEG分类.
科学领域:
- 神经科学是一个神经科学.
- 复杂性科学 复杂性科学
- 信号处理 信号处理
背景情况:
- 时间不可逆转性 (TIR) 具有非平衡大脑活动的特征,但它与脑电图 (EEG) 中睡眠阶段的关系尚未得到充分研究.
- 了解睡眠期间的EEG TIR动态对于破译大脑功能和开发先进的睡眠分析工具至关重要.
研究的目的:
- 在EEG数据中全面调查不同睡眠阶段 (清醒,I,II,III,REM阶段) 的变换TIR (pTIR).
- 分析等值和禁止排列对睡眠脑电图中的pTIR计算的影响.
- 探索睡眠阶段进展和pTIR之间的关系,以及它对EEG分类的影响.
主要方法:
- 从PhysioNet数据库中收集了五个睡眠阶段 (清醒,I,II,III,REM) 的EEG数据.
- 采用了使用原始和振幅顺序的TIR (pTIR) 分析.
- 研究了等值和禁止排列对pTIR的影响,并分析了等状态的分布.
主要成果:
- 随着睡眠阶段深度的增加,pTIR显著下降 (p<0.001).
- 与其他阶段相比,清醒和REM睡眠阶段在pTIR中表现出最显著的差异.
- 平等状态的分布,量化振幅波动,与睡眠阶段 (p<0.001) 显著增加.
结论:
- 睡眠阶段的进展与EEG时间不可逆转性的量化下降有关.
- 忽视 pTIR 分析中的等值可能会导致关于大脑活动的错误结论.
- pTIR分析为了解定量TIR和分类睡眠EEG阶段提供了有价值的工具.
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