使用诱导电流模拟和电机唤起的潜在延迟在跨磁刺激中的激活部位估计
Takumi Tanabe1, Akimasa Hirata2, Keita Iijima3
1Department of Electrical and Mechanical Engineering, Nagoya Institute of Technology, Nagoya 466-8555, Japan.
概括
在个性化模型中,从跨膜磁刺激 (TMS) 线圈中调查电场 (EF) 分布,发现了变化. 考虑运动唤起潜力 (MEP) 延迟差异有助于确定运动皮层激活部位.
科学领域:
- 神经科学是一个神经科学.
- 生物物理学的生物物理.
- 医疗成像医学成像
背景情况:
- 通过跨磁刺激 (TMS) 激活运动皮层的确切位置尚未完全理解.
- 了解电场 (EF) 分布对于优化TMS协议至关重要.
研究的目的:
- 在个性化头部模型中研究由不同的TMS线圈引起的电场 (EF) 分布.
- 为了评估组级EF模式,考虑发动机唤起的潜力 (MEP) 延迟变化.
主要方法:
- 13名健康参与者从Figure-of-8 (Fo8) 和双圆 (DC) 线圈中接受了单脉冲TMS.
- 记录了发动机唤起的潜力 (MEP),并使用有限差异方法在个性化头部模型中计算了EF分布.
- EF数据被映射到标准的大脑空间进行组分析.
主要成果:
- 在一些参与者的线圈之间观察到MEP延迟的显著差异.
- 集团层面的EF分析显示,峰值EF强度在环形树冠上.
- 当MEP延迟差异最小时,EF-电机值相关性表明前部中央壁的激活.
结论:
- 参与者和线圈的可变性显著影响EF分布.
- 将MEP延迟差异纳入EF计算可以提高识别TMS激活站点的分辨率.
- 这种方法为精确的神经成像的EF-MEP延迟关系提供了新的见解.
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