TMSmap - software for quantitative analysis of transcranial magnetic stimulation (TMS) brain mapping results 

     We developed TMSmap software as a standalone graphical interface software for the quantitative analysis of the results of transcranial magnetic stimulation (TMS) mapping. The software allows to consider not only standard parameters like the size of the cortical muscle representation and hotspot and center of gravity (CoG) location, but as well the volume of the representation considering the amplitude of MEPs in each stimulation spot, the shape of the area, the profile/landscape of the muscle cortical representation and the overlap between representations. Earth mover’s distance (EMD) metric is implemented into the software for maps profiles comparison. Please see the article for more details.
 
     Software is distributed under a freeware license: one can download, install and use it free of charge. Please cite this article (doi: 10.3389/fnhum.2018.00239) if you use the software.
 
     Get the latest version here (registration is required). Minimal system requirements: MS Windows 7, .NET Framework 4.5.2.
 
     Brief video tutorial (5 minutes) is here.
     Detailed video tutorial (18 minutes) is here.
     User manual (pdf) is here (registration is required).
 
     Please, send your questions and suggestions to software developers:
 
Pavel Novikov, PhD (e-mail: novikov-p-a@yandex.ru) – developer
Maria Nazarova, MD, PhD (e-mail: chantante@gmail.com) – supervisor
Vadim Nikulin, PhD – scientific consultant
Ivan Gusarovas, MS – assistant
 
     or email to: brainmaplab@gmail.com
     or use the special message form
 
     Authors are deeply grateful to Dr. Alexei Ossadtchi and Dr. Andrey Zhdanov for discussions. Authors are also grateful to Dr. Victor Hugo Souza and Renan Matsuda, MS for the data from the navigation system “InVesalius” provided for testing. We acknowledge Dr. Yossi Rubner for the open-source code for EMD calculation the modification of which we used. Authors are also grateful to students Daria Pozdeeva, Ekaterina Ivanina and Kseniya Kozlova for software testing.
 
     The source code may be provided by request with the description of the purpose for what it is needed.