机动网络,但非机动网络也预测了帕金森病中的机动信号
Anjanibhargavi Ragothaman1, Martina Mancini1, John G Nutt1
1Department of Neurology, Oregon Health and Science University, Portland, OR 97239, USA.
NeuroImage. Clinical
|November 16, 2023
概括
帕金森病的运动症状与运动,视觉和注意力网络中的异常大脑连接有关. 这些发现表明,非运动性大脑区域可能在PD的运动协调和补偿机制中发挥作用.
科学领域:
- 神经科学是一个神经科学.
- 神经学 神经学
- 脑部成像 脑部成像
背景情况:
- 帕金森病 (PD) 的特点是运动功能障碍.
- 休息状态功能连接 (RsFC) 非侵入性评估大脑功能.
- 运动和注意力网络中的异常连接性可能是PD运动缺陷的基础.
研究的目的:
- 研究与帕金森病中运动障碍相关的大脑功能网络.
- 了解与机动信号相关的机动和非机动静止状态功能连接 (RsFC) 之间的相互作用.
- 提供对帕金森病病理生理学的见解.
主要方法:
- 利用了88名帕金森病患者的数据.
- 通过使用MDS-UPDRS Part-III电动分数来评估运动严重性.
- 用384个区域的地图集集成成13个功能网络来描述RSFC.
- 采用预测建模来将RSFC与运动严重程度联系起来.
主要成果:
- 运动分数的顶级预测模型涉及体内运动网络和皮层下-基底腺网络之间的连接.
- 身体运动和视觉网络连接也预测了运动严重程度.
- 针眼 (CiO) 和语言/腹部注意力 (Lan/VeA) 网络连接是显著的预测因素.
结论:
- 运动网络,以及视觉和注意力网络,与帕金森病的运动症状有关.
- 非运动网络可能间接影响PD中的运动协调.
- 增加注意力可能会弥补PD患者的运动网络缺陷.
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