Role of Soft-Tissue Heterogeneity in Computational Models of Deep Brain Stimulation.
Role of Soft-Tissue Heterogeneity in Computational Models of Deep Brain Stimulation.
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DOI：
10.1016/j.brs.2016.09.001
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发表时间：
2017-01
影响因子：
7.7
通讯作者：
McIntyre CC
中科院分区：
文献类型：
--
作者：
Howell B;McIntyre CC
深部脑刺激（DBS）的生物电场模型通常用于研究和工业应用。然而，这些模型中用于人体头部的各种不同表示可能是造成刺激预测的巨大差异的原因。确定 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。我们使用详细的人体头部图谱，结合磁共振成像数据，构建了一系列丘脑底脑 DBS 体积导体模型。我们逐步简化了最详细的基础模型，并量化了直接激活皮质轴突的刺激阈值的变化。忽略脑血管系统将刺激阈值的预测改变 < 10%，而忽略大脑外部软组织异质性则将预测改变在 -44% 到 174% 之间。如果不考虑头部软组织的异质性，则会在预测神经元件的电刺激方面引入一定程度的不确定性，这种不确定性是不可忽略的，因此值得在未来的建模研究中考虑。
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.