在慢性失眠中异常的单个对象形态小脑连接体异常
Yuqin Ma1, Shishun Fu2, Xi Ye2
1Guangzhou Medical University, Guangzhou 51495, PR China.
NeuroImage. Clinical
|August 21, 2023
概括
结构性MRI显示慢性失眠 (CI) 中小脑网络组织发生变化. 患有CI的患者在小脑中表现出较少的集群和区域效率差异,这表明了诊断的潜在生物标志物.
科学领域:
- 神经成像是一种神经成像.
- 图形理论 图形理论
- 小脑神经科学是神经科学.
背景情况:
- 慢性失眠 (CI) 是一种影响睡眠和日常活动的普遍疾病.
- 小脑在CI中的作用尚未完全理解,特别是它的网络组织.
- 研究小脑形态网络为了解CI病理生理学提供了一种新的方法.
研究的目的:
- 系统地调查慢性失眠患者中小脑形态网络的拓组织.
- 检查慢性失眠中这些拓学变化的临床相关性.
- 探索小脑网络分析作为CI的诊断生物标志物的潜力.
主要方法:
- 结构性MRI用于从101名CI患者和102名健康对照 (HC) 获得灰质体积数据.
- 单个小脑形态网络是使用加权图形理论构建和表征的.
- 组之间比较了网络属性,并评估了与临床变量之间的相关性.
主要成果:
- 与HC相比,CI患者表现出明显较低的正常化聚类系数.
- CI患者在小脑叶VIIb和虫中显示节点效率降低,但在右小脑叶VIIIa中增加节点效率.
- 在小脑网络变化和临床变量之间没有发现显著的相关性.
结论:
- 个体形态网络分析是调查小脑CI变化的可行策略.
- 在小脑网络中发现的拓变化可能会对开发CI的诊断和分类生物标志物产生影响.
- 需要进一步的研究来阐明确切的机制,将小脑网络功能障碍与慢性失眠联系起来.
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