Exploring analytical procedures and short channels in fNIRS research: Insights and implications
Yann Lemaire, Jérémie Ginzburg, Olivier Deguine, Pascal Barone, Anne Caclin · FENS Forum 2024
Functional near-infrared spectroscopy (fNIRS) is now a common tool in neuroscience research, but due to the different analytical methods available, it is challenging to determine the best approach for data analysis. We investigated the effect of short channel (SC) correction on a block design experiment with auditory, visual, and audio-visual stimuli, by removing non-neuronal signals from fNIRS long channels. We tested three analysis pipelines with and without SC correction. fNIRS signal was deconvoluted using Generalized Linear Model (GLM) in which orthogonalized SC signal (first analysis), n
ePoster · Neuroscience