Adaptive Neurofeedback on Parieto-Occipital Cortex for Motor Learning Performance
Ozan Özdenizci, Timm Meyer, Müjdat Çetin, Moritz Grosse-Wentrup
Numerous electroencephalogram (EEG) based Brain-Computer Interface (BCI) systems are being used as alter-native means of communication for locked-in patients. Beyond these, BCIs are also considered in the context of post-stroke motor rehabilitation. Such research usually focuses on exploiting information decoded from sensorimotor activity of the brain. Here, we propose to extend this current focus beyond sensori-motor to also include associative brain areas. In this pilot study, we present an adaptive neurofeedback training paradigm to up-regulate particular EEG activity that is likely to enhance post-stroke motor rehabilitation. Our experimental results support the interpretation that the neurofeedback paradigm enables subjects to up-regulate intended activity and sustain that modulation in
inter-trial resting periods in a state that we believe can support motor learning performance. These results serve as a beginning on viability of our claim on integrating a neurofeedback approach to BCI-based motor rehabilitation protocols.