| Literature DB >> 32439562 |
Kevin A Caulfield1, Bashar W Badran2, Xingbao Li2, Marom Bikson3, Mark S George4.
Abstract
Entities:
Keywords: Electric field modeling; Individualized tDCS dosing; Reverse-calculation; Reverse-calculation modeling; Transcranial direct current stimulation; tDCS; tDCS dosing; tDCS modeling
Year: 2020 PMID: 32439562 PMCID: PMC7891110 DOI: 10.1016/j.brs.2020.05.012
Source DB: PubMed Journal: Brain Stimul ISSN: 1876-4754 Impact factor: 8.955
Fig. 1.Reverse-Calculation Modeling ROI Analysis Overview and Results.
1A: We used SimNIBS 3.1.1. modeling to place rectangular 70 × 50mm electrodes at F3 (anode) and F4 (cathode). Blue circles depict the spherical 10mm radius ROIs we extracted at the cortical level using grey matter masks. These ROIs were centered around the cortical locations underneath the anode (F3), cathode (F4), and midway between the two electrodes (Fz). 1B: Reverse-Calculation Formula. The individualized dose was determined using one 2mA model and cross-multiplication to determine the individualized dose that would be required to produce the group average electric field. C-E: Prefrontal F3-F4 Reverse-Calculation Dose x TES MT Regressions. We plotted each individual’s reverse-calculation electric field model underneath F3 (1C), F4 (1D), and Fz (1E) against the measured TES MT at the scalp over the motor hotspot. These TES MT values significantly correlated at the ROIs underneath F3 and F4 and trended toward significance for the ROI underneath Fz. With further evaluation and refinement, it appears that TES MT could be a promising candidate technique for individually dosing tDCS without the use of MRI. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)