Systematic Approach for tDCS analysis (SATA) is a Matlab Based toolbox. It works well with Matlab version 2017 and above. However, we have not tested SATA for other MATLAB versions. SATA works on Windows, Linux and Mac.
SATA is a post-processing toolbox after the tDCS montages have been simulated in COMETS or ROAST.
The SATA GUI package will allow the users to simulate the chosen montages in either COMETS or ROAST, and obtain the post-processed simulation outputs from SATA.
Further, you may wish to not use the SATA GUI. In this case, you can download the codes from Github. However, you will need to download SPM, Fieldtrip, and Talairach client (do add them to matlab path). Similarly, you will have to run COMETS or ROAST separately to generate simulation outputs.So please do download them from their respective websites and see how to use them from their manuals. For details on using the code of SATA, please refer the SATA MANUAL (section 3.4).
-  Takes the montages simulated from COMETS or ROAST
-  If you download the complete package from the link (above), you can simulate your montages in COMETS or ROAST from the SATA GUI
-  Average Current density in each cortical Lobe - Amount of stimulation received in each cortical area of the brain
-  Gradient of current density across each cortical area.
-  Overlap of stimulation - If there are multiple cortical routes that process the information (For example, Dorsal and ventral routes in Language, Vision, etc) in the brain, SATA helps to decide the montage that is most appropriate such that a user can stimulate one route thereby minimally stimulating the other or can also chose the montage that stimulates both routes.
Overall use of SATA
-  Solves the ambiguities in montage selection
-  Aids selection of Appropriate tDCS Montage
********* Please cite the following papers if you are using SATA
 Bhattacharjee, S., Kashyap, R., Rapp, B., Oishi, K., Desmond, J., & Chen, S. (2019). Simulation Analyses of tDCS Montages for the Investigation of Dorsal and Ventral Pathways. Scientific Reports (in press)
 Lancaster, J. L., Rainey, L. H., Summerlin, J. L., Freitas, C. S., Fox, P. T., Evans, A. C., … Mazziotta, J.
C. (1997). Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward- transform method. Human Brain Mapping, 5(4), 238–242.
 Lancaster, J. L., Woldorff, M. G., Parsons, L. M., Liotti, M., Freitas, C. S., Rainey, L., Fox, P. T. (2000). Automated Talairach atlas labels for functional brain mapping. Human Brain Mapping, 10(3), 120– 131.
 Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011). FieldTrip: Open Source Software for
Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Computational
Intelligence & Neuroscience, 1–9. https://doi.org/10.1155/2011/156869
 SPM - Statistical Parametric Mapping. (n.d.). Retrieved July 5, 2019, from
*If COMETS was used to generate inputs for SATA -
 Lee, C., Jung, Y.-J., Lee, S. J., & Im, C.-H. (2017). COMETS2: An advanced MATLAB toolbox for the
numerical analysis of electric fields generated by transcranial direct current stimulation. Journal of Neuroscience Methods, 277, 56–62.
*If ROAST was used to generate inputs for SATA -
 Huang, Y., Datta, A., Bikson, M., & Parra, L. C. (2019). Realistic vOlumetric-Approach to Simulate Transcranial Electric Stimulation – ROAST – a fully automated open-source pipeline. Journal of Neural Engineering, 2019
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