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开源软件 ROAST 在临床研究中的应用:综述。

Applications of open-source software ROAST in clinical studies: A review.

机构信息

Department of Biomedical Engineering, City College of the City University of New York, New York, NY, 10031, USA.

Department of Biomedical Engineering, City College of the City University of New York, New York, NY, 10031, USA; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.

出版信息

Brain Stimul. 2022 Jul-Aug;15(4):1002-1010. doi: 10.1016/j.brs.2022.07.003. Epub 2022 Jul 16.

Abstract

BACKGROUND

Transcranial electrical stimulation (TES) is broadly investigated as a therapeutic technique for a wide range of neurological disorders. The electric fields induced by TES in the brain can be estimated by computational models. A realistic and volumetric approach to simulate TES (ROAST) has been recently released as an open-source software package and has been widely used in TES research and its clinical applications. Rigor and reproducibility of TES studies have recently become a concern, especially in the context of computational modeling.

METHODS

Here we reviewed 94 clinical TES studies that leveraged ROAST for computational modeling. When reviewing each study, we pay attention to details related to the rigor and reproducibility as defined by the locations of stimulation electrodes and the dose of stimulating current. Specifically, we compared across studies the electrode montages, stimulated brain areas, achieved electric field strength, and the relations between modeled electric field and clinical outcomes.

RESULTS

We found that over 1800 individual heads have been modeled by ROAST for more than 30 different clinical applications. Similar electric field intensities were found to be reproducible by ROAST across different studies at the same brain area under same or similar stimulation montages.

CONCLUSION

This article reviews the use cases of ROAST and provides an overview of how ROAST has been leveraged to enhance the rigor and reproducibility of TES research and its applications.

摘要

背景

经颅电刺激(TES)作为一种治疗多种神经疾病的方法得到了广泛的研究。TES 在大脑中产生的电场可以通过计算模型来估计。最近发布了一种名为 ROAST 的开源软件包,它提供了一种逼真且体积的方法来模拟 TES,并已广泛应用于 TES 研究及其临床应用。TES 研究的严谨性和可重复性最近成为人们关注的焦点,特别是在计算模型方面。

方法

我们回顾了 94 项利用 ROAST 进行计算建模的临床 TES 研究。在审查每项研究时,我们关注与刺激电极位置和刺激电流剂量相关的严谨性和可重复性的细节。具体来说,我们比较了研究之间的电极排列、刺激的脑区、达到的电场强度,以及模型化电场与临床结果之间的关系。

结果

我们发现,超过 1800 个头骨通过 ROAST 进行了建模,涉及 30 多种不同的临床应用。在相同或类似的刺激排列下,ROAST 在相同的脑区复制了相似的电场强度。

结论

本文回顾了 ROAST 的使用案例,并概述了如何利用 ROAST 提高 TES 研究及其应用的严谨性和可重复性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/174c/9378654/9384c60cbb14/nihms-1828629-f0001.jpg

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