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在中风后的认知和运动功能障碍中改变了大脑动态.

Xiaoying Liu1, Guihua Song2, Xiaoyun Zhuang1

  • 1Department of Rehabilitation Medicine, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.

Frontiers in aging neuroscience
|September 11, 2025
PubMed
概括
此摘要是机器生成的。

脑卒中后认知和运动功能障碍 (PSCMD) 涉及异常的动态大脑重组. 这项研究使用fMRI数据上的HMM揭示了PSCMD患者的大脑状态的改变,这表明了优化神经调节策略的潜力.

关键词:
认知和运动功能障碍.动态功能连接的功能连接.隐藏的马尔科夫模型运动功能障碍 运动功能障碍一次性中风中风中风中风中风

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科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 医疗成像医学成像

背景情况:

  • 脑卒中往往导致单个功能障碍,但综合认知和运动缺陷 (PSCMD) 及其大脑动态尚不清楚.
  • 了解PSCMD大脑动态对于有效的康复策略至关重要.
  • 目前的研究缺乏关注与PSCMD相关的动态大脑网络变化.

研究的目的:

  • 探索中风后认知和运动功能障碍 (PSCMD) 的动态大脑网络特征.
  • 在PSCMD中识别重复性脑活动状态并评估其时间性质.
  • 评估动态大脑网络特征与临床结果之间的相关性.

主要方法:

  • 收集了75名中风后运动功能障碍 (PSMD) 患者的休息状态功能性MRI (rs-fMRI) 数据,33名PSCMD患者和35名健康对照者 (HC).
  • 将隐藏的马尔科夫模型 (HMM) 应用于rs-fMRI数据,以识别动态大脑状态.
  • 分析了时空属性 (部分占用率,寿命,过渡概率) 和它们与临床分数 (例如,MoCa) 的相关性.

主要成果:

  • 确定了五个不同的HMM状态,与HC相比,PSMD和PSCMD组的显著动态时空变化.
  • 在状态3中,PSCMD患者的部分占用率发生了变化,其特点是感觉运动/认知网络激活减少,右前额头-副额头网络激活增加.
  • 在状态3中的分量占用与PSCMD患者的蒙特利尔认知评估 (MoCa) 评分有负相关性.

结论:

  • PSCMD与异常的动态大脑重组模式有关.
  • 来自HMM的大脑状态为PSCMD的神经支柱提供了洞察力.
  • 这些发现可能有助于优化用于中风康复的神经调节策略.