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Uncertainty quantification and sensitivity analysis of transcranial electric stimulation for 9-subdomain human head model
Engineering Analysis With Boundary Elements ( IF 3.3 ) Pub Date : 2021-11-22 , DOI: 10.1016/j.enganabound.2021.10.026
Anna Šušnjara 1 , Ožbej Verhnjak 2 , Dragan Poljak 1 , Mario Cvetković 1 , Jure Ravnik 2
Affiliation  

This paper deals with uncertainty quantification of transcranial electric stimulation (TES) of realistic human head model. The head model taken from Visible Human Project consists of 9 subdomains: scalp, skull, CSF, grey matter, white matter, cerebellum, ventricles, jaw and tongue. The deterministic computation of quasi-static induced electric scalar potential features boundary element method (BEM). Conductivities of each subdomain are modelled as uniformly distributed random variables and stochastic analysis features a non-intrusive stochastic collocation method (SCM). The input uncertainties impact only the magnitude of the electric scalar potential and not the position of the potential extrema. Skin and brain conductivities play the most important role, while CSF conductivity has negligible impact on the output potential variance. The significance of the skull conductivity is not high for the chosen input parameter setup. In the previous work authors considered 3-compartment head model which consisted of scalp, skull and brain compartments. The presented model is a step forward in SCM+BEM TES analysis, primarily in terms of model complexity. Comparing the results of the two analyses it can be concluded that the uncertainty in the added tissues’ conductivities do not impact the variation of the output electric potential.



中文翻译:

9子域人头模型经颅电刺激的不确定度量化及灵敏度分析

本文涉及真实人头模型经颅电刺激 (TES) 的不确定性量化。取自 Visible Human Project 的头部模型由 9 个子域组成:头皮、头骨、脑脊液、灰质、白质、小脑、心室、下巴和舌头。准静态感应电标量势特征边界元法(BEM)的确定性计算。每个子域的电导率被建模为均匀分布的随机变量,随机分析采用非侵入式随机搭配方法 (SCM)。输入不确定性仅影响电标量电位的大小,而不影响电位极值的位置。皮肤和大脑的电导率起着最重要的作用,而脑脊液电导率对输出电位变化的影响可以忽略不计。对于所选的输入参数设置,颅骨电导率的重要性不高。在之前的工作中,作者考虑了由头皮、颅骨和大脑隔室组成的 3 隔室头部模型。所呈现的模型是 SCM+BEM TES 分析的一个进步,主要是在模型复杂性方面。比较两种分析的结果可以得出结论,添加组织的电导率的不确定性不会影响输出电位的变化。

更新日期:2021-11-23
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