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一种用于经颅直流电刺激电场分析的计算分区脑模型

A Computational Parcellated Brain Model for Electric Field Analysis in Transcranial Direct Current Stimulation

作者信息

Callejón-Leblic M. A., Miranda Pedro C.

机构信息

Biomedical Engineering Group, University of Seville, Seville, Spain

Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal

Abstract

Recent years have seen the use of increasingly realistic electric field (EF) models to further our knowledge of the bioelectric basis of noninvasive brain techniques such as transcranial direct current stimulation (tDCS). Such models predict a poor spatial resolution of tDCS, showing a non-focal EF distribution with similar or even higher magnitude values far from the presumed targeted regions, thus bringing into doubt the classical criteria for electrode positioning. In addition to magnitude, the orientation of the EF over selected neural targets is thought to play a key role in the neuromodulation response. This chapter offers a summary of recent works which have studied the effect of simulated EF magnitude and orientation in tDCS, as well as providing new results derived from an anatomically representative parcellated brain model based on finite element method (FEM). The results include estimates of mean and peak tangential and normal EF values over different cortical regions and for various electrode montages typically used in clinical applications.

摘要

近年来,人们越来越多地使用逼真的电场(EF)模型,以增进我们对非侵入性脑技术(如经颅直流电刺激(tDCS))生物电基础的了解。此类模型预测tDCS的空间分辨率较差,显示出非聚焦的电场分布,在远离假定目标区域处具有相似甚至更高的幅值,从而使电极定位的经典标准受到质疑。除了幅值,电场在选定神经靶点上的方向被认为在神经调节反应中起关键作用。本章总结了最近研究tDCS中模拟电场幅值和方向影响的工作,并提供了基于有限元方法(FEM)的具有解剖学代表性的分区脑模型得出的新结果。结果包括不同皮质区域以及临床应用中通常使用的各种电极组合的平均和峰值切向及法向电场值的估计。

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