EEG during Motor Imagery under Different Postural Conditions – Case Study

Abstract

Motor imagery is a popular maneuver for controlling an EEG-based brain-computer interfaces (BCIs). Yet, little is known about motor imagery under different postural conditions, such as standing or supported standing in the case of neurological impairment. This lack of knowledge seriously impedes the development of practical BCIs needed for neurorehabilitation. Here we examined EEG modulations during motor imagery performed while subjects either sat or stood. Data were collected in three subjects who imagined their hands moving. we compared the accuracy of BCI prediction in two conditions: sitting and standing. At this point we report that different EEG patterns occur during sitting versus standing, and in both cases, EEG is modulated by motor imagery, which makes BCI technology applicable to different postural conditions.