High-Resolution Modeling Assisted Design of Customized and Individualized Transcranial Direct Current Stimulation Protocols

被引:89
作者
Bikson, Marom [1 ]
Rahman, Asif [1 ]
Datta, Abhishek [2 ]
Fregni, Felipe [2 ]
Merabet, Lotfi [3 ]
机构
[1] CUNY City Coll, Dept Biomed Engn, New York, NY 10031 USA
[2] Harvard Univ, Sch Med, Spaulding Rehabil Hosp, Lab Neuromodulat, Boston, MA USA
[3] Harvard Univ, Massachusetts Eye & Ear Infirm, Sch Med, Vis Rehabil Ctr,Dept Ophthalmol, Boston, MA USA
来源
NEUROMODULATION | 2012年 / 15卷 / 04期
基金
美国国家卫生研究院;
关键词
Electrical stimulation; FEM; fMRI; head model; lesion; modeling; neuromodulation; skull defects; stroke; tDCS; TMS; traumatic brain injury; BRAIN; TOLERABILITY; POLARIZATION; EXCITABILITY; FIELD; TDCS; FEM;
D O I
10.1111/j.1525-1403.2012.00481.x
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
100103 [病原生物学]; 100218 [急诊医学];
摘要
Objectives: Transcranial direct current stimulation (tDCS) is a neuromodulatory technique that delivers low-intensity currents facilitating or inhibiting spontaneous neuronal activity. tDCS is attractive since dose is readily adjustable by simply changing electrode number, position, size, shape, and current. In the recent past, computational models have been developed with increased precision with the goal to help customize tDCS dose. The aim of this review is to discuss the incorporation of high-resolution patient-specific computer modeling to guide and optimize tDCS. Methods: In this review, we discuss the following topics: 1) The clinical motivation and rationale for models of transcranial stimulation is considered pivotal in order to leverage the flexibility of neuromodulation; 2) the protocols and the workflow for developing high-resolution models; 3) the technical challenges and limitations of interpreting modeling predictions; and 4) real cases merging modeling and clinical data illustrating the impact of computational models on the rational design of rehabilitative electrotherapy. Conclusions: Though modeling for noninvasive brain stimulation is still in its development phase, it is predicted that with increased validation, dissemination, simplification, and democratization of modeling tools, computational forward models of neuromodulation will become useful tools to guide the optimization of clinical electrotherapy.
引用
收藏
页码:306 / 315
页数:10
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