Christa Neuper

TL;DR: At this time, a tetraplegic patient is able to operate an EEG-based control of a hand orthosis with nearly 100% classification accuracy by mental imagination of specific motor commands.

TL;DR: The spatiotemporal patterns of Rolandic mu and beta rhythms were studied during motor imagery with a dense array of EEG electrodes and the pattern of EEG desynchronization related to imagination of a movement was similar to the pattern during planning of a voluntary movement.

TL;DR: By averaging over all training and over all feedback sessions, the EEG data revealed a significant desynchronisation (ERD) over the contralateral central area and synchronisation (ERS) overThe ipsilateral side over all sessions displayed a relatively small intra-subject variability with slight differences between sessions with and without feedback.

TL;DR: This paper focuses on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT) and identifies four application areas where disabled individuals could greatly benefit from advancements inBCI technology, namely, “Communication and Control”, ‘Motor Substitution’, ”Entertainment” and “Motor Recovery”.

TL;DR: Induced oscillations in the beta band (13-35 Hz, beta ERS) were found in sensorimotor areas after voluntary movement and after somatosensory stimulation, and may be interpreted as a state of 'inhibition' of neural circuitry in the primary motor cortex.