Mu down regulation EEG-neurofeedback training combined to motor imagery facilitates early consolidation in a sequential finger tapping task

Abstract

Objective. Motor imagery (MI) has demonstrated positive effects on motor performance and triggers activation in the motor cortex (MC). EEG-Neurofeedback (EEG-NF) is a neuromodulation technique that provides real-time feedback on one’s brain activity, enabling self-regulation of brain states. While there is increasing evidence of humans controlling the activity of various brain networks, including the MC, through EEG-NF, the tangible benefits of this self-regulation on motor performance remain uncertain. This study investigates the potential benefits of EEG-NF training in explicit learning of a sequential movement, in comparison to MI training and to a combined EEG-NF and MI training. Approach. Ninety-one right-handed healthy adults were randomly assigned to one of four groups (a)NF(n = 24), (b)MI(n = 22), (c)MI + NF(n = 23) and (d)control(n = 22). Participants performed a sequential finger tapping task before and after (immediately, 20 min and 24 h) a single 30 min training session. Motor performance, movement speed and event related desynchronization data were analyzed. Main results. MI training led to a better motor performance compared to control condition immediately after training that was sustained at the 20 min retest time point (p = 0.02 and 0.05). In contrast, EEG-NF training alone did not yield better motor performance compared to control condition at any time-point (p > .05). Remarkably, only the combination of both trainings led to superior motor performance 24 h after training in comparison to control group (p = 0.02). Additionally, all experimental groups successfully decreased mu rhythm amplitude throughout most of the training. Significance. Combined EEG-NF and MI training appears particularly promising for enhancing motor consolidation holding the potential to advance rehabilitation approaches.