High γ-power predicts performance in sensorimotor-rhythm brain-computer interfaces.
rct · Level II
Where this comes from
- Record sourced from PubMed, PMID 22713543.
- Also identified by DOI 10.1088/1741-2560/9/4/046001.
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Abstract
Subjects operating a brain-computer interface (BCI) based on sensorimotor rhythms exhibit large variations in performance over the course of an experimental session. Here, we show that high-frequency γ-oscillations, originating in fronto-parietal networks, predict such variations on a trial-to-trial basis. We interpret this finding as empirical support for an influence of attentional networks on BCI performance via modulation of the sensorimotor rhythm.
Medical subject headings
- Brain Waves
- Brain-Computer Interfaces
- Imagination
- Photic Stimulation
- Psychomotor Performance