NIRSTORM is a plugin dedicated for fNIRS data analysis, built upon Brainstorm, an internationally recognized software for EEG/MEG processing, featuring advanced databasing, visualization, signal processing, source localization and statistical analysis methods. The purpose of this mini-course is to introduce NIRSTORM as a user-friendly and fully complete environment dedicated to fNIRS statistical analysis. The first section will be dedicated to beginners, introducing NIRSTORM database, data importation and classical channel-space fNIRS processing (band pass filtering, Modified Beer-Lambert Law, motion correction and window averaging). Most recent updates will then be presented: General Linear Model based statistical analyses (auto- regressive/precoloring model, mixed-effect group level analysis) to provide statistics of the hemodynamic response either in the channel space or along the cortical surface after 3D reconstruction. Finally, we will present the most advanced NIRSTORM features, such as the integration of MCXLab software [Fang and Boas Opt. Express 2009] to estimate light sensitivity profiles within anatomical head models, our method allowing personalized optimal montage design targeting a predefined brain region [Machado et al JNS-Methods 2018] and advanced 3D reconstructions using Maximum Entropy on the Mean.
For more information and to see the program, please go to the PERFORM Website.