Howell Bryan, McIntyre Cameron C
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Brain Stimul. 2017 Jan-Feb;10(1):46-50. doi: 10.1016/j.brs.2016.09.001. Epub 2016 Sep 8.
Bioelectric field models of deep brain stimulation (DBS) are commonly utilized in research and industrial applications. However, the wide range of different representations used for the human head in these models may be responsible for substantial variance in the stimulation predictions.
Determine the relative error of ignoring cerebral vasculature and soft-tissue heterogeneity outside of the brain in computational models of DBS.
We used a detailed atlas of the human head, coupled to magnetic resonance imaging data, to construct a range of subthalamic DBS volume conductor models. We incrementally simplified the most detailed base model and quantified changes in the stimulation thresholds for direct activation of corticofugal axons.
Ignoring cerebral vasculature altered predictions of stimulation thresholds by <10%, whereas ignoring soft-tissue heterogeneity outside of the brain altered predictions between -44 % and 174%.
Heterogeneity in the soft tissues of the head, if unaccounted for, introduces a degree of uncertainty in predicting electrical stimulation of neural elements that is not negligible and thereby warrants consideration in future modeling studies.
深部脑刺激（DBS）的生物电场模型常用于研究和工业应用。然而，这些模型中用于人类头部的不同表示方式范围广泛，这可能是刺激预测中存在大量差异的原因。
确定在DBS计算模型中忽略脑血管系统和脑外软组织异质性的相对误差。
我们使用了一个详细的人类头部图谱，并结合磁共振成像数据，构建了一系列丘脑底核DBS容积导体模型。我们逐步简化最详细的基础模型，并量化直接激活皮质传出轴突的刺激阈值变化。
忽略脑血管系统使刺激阈值预测的改变小于10%，而忽略脑外软组织异质性使预测改变在-44%至174%之间。
如果不考虑头部软组织的异质性，在预测神经元的电刺激时会引入一定程度的不确定性，这种不确定性不可忽略，因此在未来的建模研究中值得考虑。
