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Transcranial direct current stimulation (tDCS)
Realistic volumetric Approachbased Simulator for Transcranial electric stimulation (ROAST)
Systematic Approach for tDCS Analysis (SATA)
Kashyap, R., Bhattacharjee, S., Arumugam, R., Oishi, K., Desmond, J. E. and Chen, S. H. A. (2020). i-SATA: A MATLAB based toolbox to estimate current density generated by transcranial direct current stimulation in an individual brain. Journal of Neural Engineering, 17(5). https://doi.org/10.1088/1741-2552/aba6dc
Background Transcranial Direct Current Stimulation (tDCS) is a technique where a weak current is passed through the electrodes placed on the scalp. The distribution of the electric current induced in the brain due to tDCS is provided by simulation toolbox like Realistic-volumetric-Approach-based-Simulator-for-Transcranial-electric-stimulation (ROAST). However, the procedure to estimate the total current density induced at the target and the intermediary region of the cortex is complex. The Systematic-Approach-for-tDCS-Analysis (SATA) was developed to overcome this problem. However, SATA is limited to standardized headspace only. Here we develop individual-SATA (𝓲-SATA) to extend it to individual head.
Method T1-weighted images of 15 subjects were taken from two Magnetic Resonance Imaging (MRI) scanners of different strengths. Across the subjects, the montages were simulated in ROAST. 𝓲-SATA converts the ROAST output to Talairach space. The x, y and z coordinates of the anterior commissure (AC), posterior commissure (PC), and Mid-Sagittal (MS) points are necessary for the conversion. AC and PC are detected using the acpcdetect toolbox. We developed a method to determine the MS in the image and cross-verified its location manually using BrainSight®.
Result Determination of points with 𝓲-SATA is fast and accurate. The 𝓲-SATA provided estimates of the current-density induced across an individual’s cortical lobes and gyri as tested on images from two different scanners.
Conclusion Researchers can use 𝓲-SATA for customizing tDCS-montages. With 𝓲-SATA it is also easier to compute the inter-individual variation in current-density across the target and intermediary regions of the brain. The software is publicly available.
This is the final draft, after peer-review, of a manuscript published in Journal of Neural Engineering. The published version is available online at https://doi.org/10.1088/1741-2552/aba6dc
Grant no. U54 HD079123
NIH/NICHD Nanyang Technological University, Singapore.
Nanyang Technological University, Singapore
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checked on Mar 9, 2021
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