在时间干扰刺激中海马电场的解剖学介导变异性:一种预测模型方法
Weiyu Meng1, Ziyan Zhu2, Zhen Wu1
1Beijing Key Laboratory of Bioelectromagnetism, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, PR China; School of Electrical, Electronics and Communications Engineering, University of Chinese Academy of Sciences, Beijing 100149, PR China.
NeuroImage
|December 10, 2025
概括
个体解剖学显著影响时间干扰刺激 (TIS) 的结果. 可以使用临床特征预测个性化调制深度 (MD),从而在不需要复杂的模拟的情况下实现精确的大脑刺激.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 计算建模 计算建模
背景情况:
- 时间干扰刺激 (TIS) 提供非侵入性的深度大脑向.
- 包括调制深度 (MD) 和定向对齐在内的TIS诱导的电场 (EF) 的个体变异性尚未得到充分理解.
研究的目的:
- 为了研究TIS诱导的左海马 (LHippo) 中EF的个体变异性.
- 确定MD变化的解剖学预测因素及其与人口和认知因素的关系.
- 根据解剖特征开发MD的预测模型.
主要方法:
- 在MRI引导的有限元建模中,模拟了LHippo中的TIS诱导的EF.
- 调制深度 (MD) 和EF向量角度在根据年龄,性别和认知状态分层的个体中得到量化.
- LASSO和逐步回归确定了预测MD的解剖特征;调解分析评估了它们的作用.
主要成果:
- 随着年龄,性别和认知状况,MD显著变化;方向角度是稳定的.
- 使用八个解剖特征 (例如,头骨厚度,脑脊液与头部比率) 的预测模型显示出强大的概括性.
- 调解分析证实,预测的MD显著占年龄,性别和认知状态的影响.
结论:
- 解剖学变异性极大地影响了个体TIS的结果.
- 个性化MD可以使用临床特征进行估计,绕过对特定主体模拟的需求.
- 这个框架支持可扩展,可解释的精确脑刺激策略.
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