High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing.

ABSTRACT: Real-time functional imaging of human neural activity and its closed-loop feedback enable voluntary control of targeted brain regions. In particular, a brain-computer interface (BCI), a direct bridge of neural activities and machine actuation is one promising clinical application of neurofeedback. Although a variety of studies reported successful self-regulation of motor cortical activities probed by scalp electroencephalogram (EEG), it remains unclear how neurophysiological, experimental conditions or BCI designs influence variability in BCI learning. Here, we provide the EEG data during using BCIs based on sensorimotor rhythm (SMR), consisting of 4 separate datasets. All EEG data were acquired with a high-density scalp EEG setup containing 128 channels covering the whole head. All partic

SUBMITTER: Iwama S 

PROVIDER: S-EPMC10272177 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature