dsGrid:一个双站点的TMS网络搜索方法,用于个性化定位汽车网络连接
Joseph A Deluisi1, Elana R Goldenkoff1, Taraz G Lee2
1School of Kinesiology, University of Michigan, Ann Arbor, USA.
Brain stimulation
|December 6, 2025
概括
一种新的双站点定位方法 (dsGrid) 使用双线圈TMS精确地绘制单个电机网络. 这种个性化的方法提高了对脑刺激研究和临床使用的传统方法的准确性.
科学领域:
- 神经科学是一个神经科学.
- 神经调节是一种神经调节.
- 脑部成像 脑部成像
背景情况:
- 由于依赖于解剖学地标或群体数据,跨磁刺激 (TMS) 准往往缺乏精度,导致可变的反应.
- 个性化功能性磁共振成像 (fMRI) 提供了准确性,但资源密集型,并不是广泛可用的.
研究的目的:
- 评估一种新的双站点定位 (dsGrid) 方法,使用双线圈TMS来绘制电机连接.
- 为了验证dsGrid是否与来自fMRI的个别机动车网络连接性保持一致.
主要方法:
- 47名参与者接受了休息状态和基于任务的fMRI,随后在目标导向的行动任务中进行了双线圈TMS.
- 使用fMRI (静止状态和基于任务) 和任务唤起的BOLD活动量化了机动网络连接.
- dsGrid识别的目标与使用fMRI衍生的运动特征的传统基于组的目标 (P3电极) 进行了比较.
主要成果:
- 与基于组的P3坐标相比,dsgrid目标在个性化汽车网络连接和激活方面表现出更高的准确性.
- 这种准确性在静止状态,基于任务和BOLD活动的fMRI模式中是一致的.
结论:
- dsGrid 方法可以精确,个性化地针对功能性运动回路进行跨磁刺激.
- 这证实了dsGrid在神经调节的研究和临床应用中的实用性.
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