在有意识障碍的患者中,大时间尺度功能网络的变化
Anjuan Gong1, Qijun Wang1, Qian Guo2
1Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Frontiers in neurology
|March 4, 2024
概括
意识障碍 (DOC) 中的大脑网络变异性揭示了对患者状态的洞察力. 功能网络的更高变化与意识受损相关,提供了新的诊断潜力.
科学领域:
- 神经科学是一个神经科学.
- 临床神经学 临床神经学
- 复杂系统分析 复杂系统分析
背景情况:
- 意识障碍 (DOC) 评估通常使用静态大脑功能测量,忽视动态状态变化.
- 了解DOC的神经生理学基础需要超越单一时间点分析的新方法.
研究的目的:
- 通过分析大时间尺度功能网络的可变性来研究DOC患者的大脑活动.
- 探索功能网络动态如何与意识损伤的严重程度有关.
主要方法:
- 在一周内利用了49名DOC患者的脑电图 (EEG) 记录.
- 测量功能连接和复杂的网络参数 (例如,特征路径长度,集群系数,中间中心性).
- 使用网络参数相对变化系数 (CV) 评估功能网络的变化.
主要成果:
- 与新出现的MCS (EMCS) 和MCS相比,植物状态/不响应的清醒综合征 (VS/UWS) 患者表现出更高的网络隔离和更低的整合.
- 在大型时间尺度上,VS/UWS患者在隔离和整合方面显示出显著更高的变异性 (CV).
- 隔离和整合的CV值与昏迷恢复量表修订 (CRS-R) 得分相反相关,而两者之间的中心性显示出正相关.
结论:
- 与EMCS和MCS相比,VS/UWS患者的功能网络显示出与EMCS和MCS相比,隔离和整合的不同变化模式.
- 大时间尺度的功能网络变化与DOC的意识损伤程度有显著的关联.
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