由tDCS引起的电场如何影响与电机相关的连接? 以模型为指导的视角
Sofia Rita Fernandes1, M Amparo Callejón-Leblic2,3,4, Hugo Alexandre Ferreira1
1Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Portugal.
Physics in medicine and biology
|January 24, 2024
概括
来自跨直流刺激 (tDCS) 的电场的计算模型可以预测它如何影响大脑连接. 使用这些模型优化tDCS电极放置是有针对性的脑网络调制的关键.
科学领域:
- 神经科学是一个神经科学.
- 计算建模计算建模
- 大脑刺激 刺激大脑
背景情况:
- 越来越多地使用跨直流刺激 (tDCS) 来调节大脑活动和连接.
- 多电极组装正在取代针对神经网络的更简单的tDCS协议.
研究的目的:
- 从设计用于改变功能性大脑连接的tDCS协议中调查电场 (EF) 模式.
- 分析与功能连接结果相关的EF特征.
主要方法:
- 选择了针对机器相关连接的现有tDCS研究.
- 在五个头部模型中进行了诱导EF的计算模拟.
- 分析了运动皮层区域的EF大小和方向.
- 对EF和协议参数进行质量评估的功能连接结果.
主要成果:
- 计算模型预测的EF模式与tDCS调节功能性大脑连接的能力相关.
- 在受试者之间观察到EF分布的区域差异,告知了电极放置的变化.
- EF特性可以指导针对特定连接结果的tDCS优化.
结论:
- tDCS诱导的神经元调制可以影响机动网络内的半球内和半球间的连接.
- 计算建模对于优化tDCS剂量和电极放置对于临床相关的连接性调制至关重要.
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