A brain–computer interface using electrocorticographic signals in humans
Washington University in St. Louis · Neurological Surgery · +7 more institutions
Abstract
Brain-computer interfaces (BCIs) enable users to control devices with electroencephalographic (EEG) activity from the scalp or with single-neuron activity from within the brain. Both methods have disadvantages: EEG has limited resolution and requires extensive training, while single-neuron recording entails significant clinical risks and has limited stability. We demonstrate here for the first time that electrocorticographic (ECoG) activity recorded from the surface of the brain can enable users to control a one-dimensional computer cursor rapidly and accurately. We first identified ECoG signals that were associated with different types of motor and speech imagery. Over brief training periods of 3-24 min, four…
Citation impact
- FWCI
- 16.72
- Percentile
- 100%
- References
- 52
Authors
5- ECEric C. LeuthardtCorresponding
Washington University in St. Louis, Neurological Surgery, Barnes-Jewish Hospital
- GSGerwin Schalk
Wadsworth Center, New York State Department of Health
- JRJonathan R. Wolpaw
University at Albany, State University of New York, Wadsworth Center, New York State Department of Health, Albany State University
- JGJeffrey G. Ojemann
Seattle Children's Hospital, Neurological Surgery, University of Washington
- DWDaniel W. Moran
Washington University in St. Louis
Topics & keywords
- Brain–computer interface
- Computer science
- Electroencephalography
- Joystick
- Electrocorticography
- Brain activity and meditation
- Interface (matter)
- Sensorimotor rhythm
- Quality Education