Influence of EEG tonic changes on Motor Imagery performance

Abstract

In Motor Imagery literature, performance predictors are commonly divided in four categories: personal, psychological, anatomical and neurophysiological. However these predictors are limited to inter-subjects changes. To overcome this limitation and evaluate intrasubjects performance, we tried to combine two groups of these measures: psychological and neurophysiological. As neurophysiological variables tonic changes in resting EEG theta and alpha sub-bands were considered. As psychological parameter we analyzed internalized attention and its correlates in lower alpha. We found that when internalized attention doesn't decrease, Motor Imagery performance outcome can be correctly predicted by resting EEG tonic variations.

Extended Interaction With a BCI Video Game Changes Resting-State Brain Activity

“…These studies showed that EEG based MI task-based training improved motor rehabilitation in stroke-patients and showed it be correlated with the fMRI based resting-state network [39]. In line with this, we also found improvement in BCI based MI performance shown in Supplementary Tables 2 and 3 in the experimental group of participants after five-days a week for four weeks, as shown in previous work [57]. More importantly, these effects are found in healthy participants.…”