症状特异性网络和帕金森病中的DBS调节网络:基于连接的审查
Ransheng Huang1, Kailiang Wang1, Yuqing Zhang1
1Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100038, China.
Brain sciences
|January 28, 2026
概括
帕金森病 (PD) 的运动症状显示出明显的脑网络特征和共享的感觉运动网络异常. 深度大脑刺激 (DBS) 有效地调节这些网络以缓解症状.
科学领域:
- 神经科学是一个神经科学.
- 神经学 神经学
- 医疗成像医学成像
背景情况:
- 帕金森病 (PD) 越来越被理解为一个复杂的大脑网络障碍.
- 先进的神经成像技术,如静止状态功能性MRI和扩散张力成像对于这种理解至关重要.
研究的目的:
- 审查PD中大脑网络的研究.
- 为了阐明PD的四个主要运动症状背后的网络异常.
- 通过深度大脑刺激 (DBS) 调节的大脑网络.
主要方法:
- 在PubMed和Web of Science的系统文献搜索.
- 包括关于一般PD网络,症状特异性网络 (震,姿势不稳定/走路障碍,走路结,近因性刚性) 和DBS调制网络的研究.
- 使用BrainNet Viewer集成发现和网络可视化.
主要成果:
- 症状特异性PD网络在感觉运动网络中共享异常.
- DBS的治疗效果与通过功能和结构连接的运动皮质调制相关.
- 每个运动症状都有不同的网络特征:震 (皮质体-thalamic-cerebellar),姿势不稳定/走路障碍 (条形体,视觉皮质),走路结 (中脑,脚核) 和近因性刚性 (默认模式网络).
结论:
- 患PD的运动症状既具有独特的网络特征,也具有常见的感觉运动变化.
- DBS调节大规模的运动网络,缓解症状.
- 描述特定症状的网络可以指导精确的DBS目标选择和优化.
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