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经 MRI 衍生计算模型的经颅直流电刺激中的个体间变异性和剂量归一化。

Inter-Individual Variation during Transcranial Direct Current Stimulation and Normalization of Dose Using MRI-Derived Computational Models.

机构信息

Neural Engineering Laboratory, Department of Biomedical Engineering, The City College of City University of New York New York, NY, USA ; Soterix Medical New York, NY, USA.

出版信息

Front Psychiatry. 2012 Oct 22;3:91. doi: 10.3389/fpsyt.2012.00091. eCollection 2012.

Abstract

BACKGROUND

Transcranial Direct Current Stimulation (tDCS) is a non-invasive, versatile, and safe neuromodulation technology under investigation for the treatment of neuropsychiatric disorders, adjunct to rehabilitation, and cognitive enhancement in healthy adults. Despite promising results, there is variability in responsiveness. One potential source of variability is the intensity of current delivered to the brain which is a function of both the operator controlled tDCS dose (electrode montage and total applied current) and subject specific anatomy. We are interested in both the scale of this variability across anatomical typical adults and methods to normalize inter-individual variation by customizing tDCS dose. Computational FEM simulations are a standard technique to predict brain current flow during tDCS and can be based on subject specific anatomical MRI.

OBJECTIVE

To investigate this variability, we modeled multiple tDCS montages across three adults (ages 34-41, one female).

RESULTS

Conventional pad stimulation led to diffuse modulation with maximum current flow between the pads across all subjects. There was high current flow directly under the pad for one subject while the location of peak induced cortical current flow was variable. The High-Definition tDCS montage led to current flow restricted to within the ring perimeter across all subjects. The current flow profile across all subjects and montages was influenced by details in cortical gyri/sulci.

CONCLUSION

This data suggests that subject specific modeling can facilitate consistent and more efficacious tDCS.

摘要

背景

经颅直流电刺激(tDCS)是一种非侵入性、多功能且安全的神经调节技术,正在研究用于治疗神经精神疾病,辅助康复以及增强健康成年人的认知能力。尽管有很有前景的结果,但响应存在变异性。变异性的一个潜在来源是传递到大脑的电流强度,这是操作员控制的 tDCS 剂量(电极排列和总应用电流)和受试者特定解剖结构的函数。我们对解剖学典型成年人之间的这种变异性的规模以及通过定制 tDCS 剂量来使个体间变异性正常化的方法都感兴趣。计算有限元法(FEM)模拟是预测 tDCS 期间大脑电流流动的标准技术,并且可以基于受试者特定的解剖学 MRI。

目的

为了研究这种变异性,我们对三个成年人(年龄 34-41 岁,一名女性)进行了多种 tDCS 排列建模。

结果

传统的电极刺激导致弥散调制,所有受试者之间的最大电流在电极之间流动。一个受试者的电极下有很高的电流流动,而诱导的皮质电流的峰值位置是可变的。高清 tDCS 排列导致所有受试者的电流都限制在环的周长内流动。所有受试者和排列的电流分布都受到皮质脑回/脑沟的细节的影响。

结论

该数据表明,基于个体的建模可以促进一致且更有效的 tDCS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c9c/3477710/1533cf323fc1/fpsyt-03-00091-g001.jpg

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