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睡眠剥夺前后不同耐受组脑电网络功能链接特征差异性分析

Analysis of functional connectivity characteristics of electroencephalogram network in different tolerance groups before and after sleep deprivation

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【作者】 杨昊平; 叶珈妤; 秦海波; 徐鹏; 曹子卿; 张越; 迟立忠; 姜林; 吴斌;

【Author】 YANG Haoping;YE Jiayu;QIN Haibo;XU Peng;CAO Ziqing;ZHANG Yue;CHI Lizhong;JIANG Lin;WU Bin;School of Psychology,Beijing Sport University;China Astronaut Research and Training Center;Chengdu Brain Science Research Institute Clinical Hospital,Ministry of Education Key Laboratory of Neuroinformation,University of Electronic Science and Technology of China;Information and Medicine Research Center,School of Life Science and Technology,University of Electronic Science and Technology of China;

【通讯作者】 迟立忠;姜林;吴斌;

【机构】 北京体育大学心理学院; 中国航天员科研训练中心; 电子科技大学神经信息教育部重点成都脑科学研究院临床医院; 电子科技大学信息医学研究中心生命科学与技术学院;

【摘要】 目的 通过24 h睡眠剥夺试验,探讨24 h睡眠剥夺耐受人群和不耐受人群在静息态和Flanker任务下的脑电活动差异及其对认知控制功能的影响。方法 面向社会招募39名志愿者,剔除和脱落7例,纳入统计32例(耐受组16例,不耐受组16例),分别在24 h睡眠剥夺前后进行静息态和Flanker任务下的脑电测量。结果 不耐受组在睡眠剥夺后认知功能明显下降,而耐受组在睡眠剥夺后仍能保持稳定的认知表现。脑网络分析显示,不耐受组在睡眠剥夺前表现出高频段(Beta、Gamma)的超链接特征,而在睡眠剥夺后,这些连接性显著下降,尤其是Gamma频段的连接显著减弱。耐受组在任务下表现出Theta和Alpha频段的连接增强。通过结合空间模式网络特征,线性判别分析的分类性能在睡眠剥夺前后均显著提升,特别是在Flanker任务不一致的条件下,进一步验证了空间模式网络特征在鉴别耐受与不耐受人群方面的有效性。结论 本研究提供了睡眠剥夺对认知功能影响的新视角,为睡眠剥夺后耐受与不耐受人群的鉴别提供了新依据。

【Abstract】 Objectives In this study, we examined the differences in EEG activity between tolerant and intolerant subjects during the resting state and Flanker task, and the effects of 24-hour sleep deprivation on cognitive control. Methods In this study, a total of 39 volunteers were recruited. Seven cases were excluded or dropped out, and 32 cases were included in the statistical analysis(16 in the tolerance group and 16 in the intolerance group). Electroencephalogram measurements were conducted in the resting state and under the Flanker task before and after 24-hour sleep deprivation, respectively. Results The intolerant group showed significant cognitive decline after sleep deprivation, whereas the tolerant group maintained stable cognitive performance after sleep deprivation. Brain network analysis showed that the intolerance group showed hyperconnectivity characteristics in high frequency bands(Beta and Gamma) at baseline, while these connectivity were significantly decreased after sleep deprivation, especially in Gamma band. The tolerant group showed enhanced connectivity in the Theta and Alpha bands under the task. By combining spatial pattern network(SPN) features, the classification performance of linear discriminant analysis(LDA) was significantly improved before and after SD, especially in the Flanker task inconsistency condition, which further verified the effectiveness of SPN features in distinguishing tolerant and non-tolerant populations. Conclusion this study reveals a new perspective on the effects of sleep deprivation on cognitive function, and provides a new basis for the identification of tolerant and non-tolerant populations after sleep deprivation.

【基金】 国家重点研发计划(2023YFF1203705)
  • 【文献出处】 航天医学与医学工程 ,Space Medicine & Medical Engineering , 编辑部邮箱 ,2025年06期
  • 【分类号】R740
  • 【下载频次】63
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