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第43卷第7期                           南京医科大学学报(自然科学版)
                  2023年7月                   Journal of Nanjing Medical University(Natural Sciences)     ·995 ·


               ·技术与方法·

                ROAST软件定量分析tDCS治疗过程中电极位置误差影响



                刘习杰 ,谭云华      2
                      1
                宜春学院物理科学与工程技术学院,江西 宜春                  336002;北京大学电子学院,北京 100871
                1                                            2



               [摘   要] 目的:用计算机模型工具来研究经颅直流电刺激(transcranial direct current stimulation,tDCS)临床治疗问题,将真实
                体积逼近模拟经颅电刺激法(realistic volumetric⁃approach to simulate transcranial electric stimulation,ROAST)以观察 tDCS 临床
                治疗过程中的电极位置误差,并从电极位置误差定量分析tDCS临床疗效性问题。方法:以F3、F4位置治疗抑郁为例,仿真计
                算颅内靶区所激励电场剂量,对比tDCS治疗电极位置误差对颅内治疗靶区电场剂量产生的影响,并给出施加2 mA和4 mA电
                流时电场剂量变化曲线。结果:仿真显示 32 种物理位置误差,矩形电极,圆形电极分别造成电场剂量变化是-10.3%~
                72.4%,-12.9%~11.3%,既有减少也有增加;此结果正是由于大脑皮质具有非均匀性。当电场剂量减少时,颅内靶区会出现小
                于有效电场剂量的情况,因此有可能出现tDCS临床治疗疗效不好。仿真还发现当tDCS施加4 mA时,颅内靶区均会大于有效
                电场剂量,且32种误差位置在颅内靶区电场剂量变化规律和施加2 mA时基本一致,电场剂量变化程度与施加电流大小基本
                无关。结论:ROAST可为临床一线医生寻找tDCS治疗的个体剂量和优化方案。
               [关键词] 经颅直流电刺激;神经调控;电场有限元数值方法
               [中图分类号] R454.1                    [文献标志码] A                      [文章编号] 1007⁃4368(2023)07⁃995⁃09
                doi:10.7655/NYDXBNS20230714


                Quantitative analysis of the change of dose caused by the position deviation of tDCS
                electrodes with ROAST

                        1
                LIU Xijie ,TAN Yunhua 2
                                                                               2
                1 Institute of Science and Technology,Yichun University,Yichun 336002;Institute of Applied Electronics,Peking
                University,Beijing 100871,China


               [Abstract] Objective:This article aims to use computer model tools to discuss transcranial direct current stimulation(tDCS)for
                clinical treatment problems,applying ROAST(realistic volumetric ⁃ approach to simulate transcranial electric stimulation)to the
                analysis of the influence of electrode position errors in the tDCS clinical treatment,and quantitatively analyze effects from the position
                offsets. Methods:This study takes F3 and F4 as an example to treat depression,simulates and calculates the electric field dose excited
                in the intracranial target area,compares the influence of the electrode position errors on the intracranial treatment target electric field
                dose,and gives the electric field dose variation curve under application of 2 mA and 4 mA current. Results:The simulation shows
                among 32 kinds of physical position errors,the pad electrode and the disk electrode cause the electric field dose to vary from⁃10.3% to
                72.4%,-12.9% to 11.3%,both decreasing and increasing;this result is due to the non⁃uniformity of the cerebral cortex. When the
                electric field dose is reduced,the electric field in intracranial target area will be low than the effective electric field dose,so it is
                possible that the clinical treatment effect of tDCS may not be good. The simulation also shows that when 4.0 mA is applied,the
                intracranial target area will produce an effective electric field dose. In addition,the variation of the electric field dose generated by
                32 kinds of error positions in the intracranial target area is basically the same as that when 2 mA is applied. The degree of electric field
                dose change is consistent with the magnitude of the applied current It’s roughly okay. The degree of electric field dose change is
                roughly irrelevant to the magnitude of the applied current. Conclusion:ROAST can be used to find the individual dose optimization of
                tDCS for clinical doctors.
               [Key words] transcranial direct current stimulation(tDCS);neuromodulation;electric field finite element numerical method
                                                                             [J Nanjing Med Univ,2023,43(07):995⁃1003]
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