Effect of Biophysical Model Complexity on Predictions of Volume of Tissue Activated (VTA) during Deep Brain Stimulation.
Effect of Biophysical Model Complexity on Predictions of Volume of Tissue Activated (VTA) during Deep Brain Stimulation.
复制标题
生物物理模型复杂性对深部脑刺激期间激活组织体积 (VTA) 预测的影响。
DOI：
10.1109/embc44109.2020.9175300
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Golestanirad,Laleh
中科院分区：
文献类型：
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作者：
Jiang,Fuchang;Nguyen,BachT;Elahi,Behzad;Pilitsis,Julie;Golestanirad,Laleh
脑深部电刺激（DBS）已发展成为治疗几种耐药性神经和精神疾病的重要治疗方法，如癫痫、帕金森病、原发性震颤和肌张力障碍。尽管DBS的一般有效性，但是，其作用机制尚未完全了解。模拟通常用于预测DBS电极周围的组织激活（VTA）体积，这反过来又有助于解释临床结局并理解治疗机制。计算模型通常用于可视化不同刺激方案的激活组织体积（VTA）的范围，这反过来有助于解释和理解结果。然而，模型的复杂程度会影响预测的VTA。在这项工作中，我们调查的体积导体模型的复杂性预测的VTA的影响，当VTA是从激活函数场度量估计。我们的研究结果可以帮助临床医生决定什么样的模型复杂度适合他们的特定需求。
Deep brain stimulation (DBS) has evolved to an important treatment for several drug-resistant neurological and psychiatric disorders, such as epilepsy, Parkinson’s disease, essential tremor and dystonia. Despite general effectiveness of DBS, however, its mechanisms of action are not completely understood. Simulations are commonly used to predict the volume of tissue activated (VTA) around DBS electrodes, which in turn helps interpreting clinical outcomes and understand therapeutic mechanisms. Computational models are commonly used to visualize the extend of volume of activated tissue (VTA) for different stimulation schemes, which in turn helps interpreting and understanding the outcomes. The degree of model complexity, however, can affect the predicted VTA. In this work we investigate the effect of volume conductor model complexity on the predicted VTA, when the VTA is estimated from activation function field metrics. Our results can help clinicians to decide what level of model complexity is suitable for their specific need.