估计电荷沉积在细胞外电场内的卷曲的轴面上的电荷沉积
IEEE transactions on bio-medical engineering
|August 3, 2023
概括
电场中的微观变化显著影响神经刺激模型. 对轴突结构的计算提高了准确性,这可能解释了深度大脑刺激激活值的差异.
科学领域:
- 计算神经科学是一种计算神经科学.
- 生物物理学的生物物理.
- 神经成像是一种神经成像.
背景情况:
- 生物物理模型解释了电场对神经元的招募.
- 目前的模型使用宏观的有限元素方法 (FEM),限制分辨率.
- 这种分辨率限制忽略了曲线神经元膜上诱导的电荷,影响了场估计和激活预测.
研究的目的:
- 通过详细的神经元形态学来估计微观电场变化.
- 为了改善对神经元招募的预测,以响应细胞外电刺激.
- 为了研究轴突结构对神经激活的影响.
主要方法:
- 利用3D扫描电子显微镜对小鼠大脑轴突的数据.
- 采用边界元素快速多极方法进行精确的细胞外溶液计算.
- 使用激活函数估计的神经元招募.
主要成果:
- 纳入轴突结构通常预测更高的激活函数值.
- 整个轴突的存在导致了90%的平均相对积分2-规范差异.
- 一个孤立的轴突显示了25%的平均差异,表明轴突的身体有显著的贡献.
结论:
- 详细的轴突结构对于精确的神经刺激建模至关重要.
- 与FEM/Cable模型相比,这些发现可能解释了在深度大脑刺激实验中观察到的较低激活值.
- 结果可以完善双域神经建模和神经刺激预测.
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