title: Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters.
abstract: All previous multiple-day brain-computer interface (BCI) experiments have dynamically adjusted the parameterization between the signals measured from the brain and the features used to control the interface. The authors present the results of a multiple-day electrocorticographic (ECoG) BCI experiment. A patient with a subdural electrode array implanted for seizure localization performed tongue motor tasks. After an initial screening and feature selection on the 1st day, 5 consecutive days of cursor-based feedback were performed with a fixed parameterization. Control of the interface was robust throughout all days, with performance increasing to a stable state in which high-frequency ECoG signal could immediately be translated into cursor control. These findings demonstrate that ECoG-based BCIs can be implemented for multiple-day control without the necessity for sophisticated retraining and adaptation.
authors: Department of Bioengineering, University of Washington, Seattle, Washington 98105, USA.
authors: Tim
authors: T
authors: Blakely
authors: Kai J
authors: KJ
authors: Miller
authors: Stavros P
authors: SP
authors: Zanos
authors: Rajesh P N
authors: RP
authors: Rao
authors: Jeffrey G
authors: JG
authors: Ojemann
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis / Q000534:rehabilitation; D019054:Evoked Potentials, Motor / Q000502:physiology; D005246:Feedback; D006801:Humans; D007092:Imagination / Q000502:physiology; D008297:Male; D009068:Movement / Q000502:physiology; D019579:Neocortex / Q000502:physiology; D010363:Pattern Recognition, Automated / Q000706:statistics & numerical data; D019736:Prostheses and Implants; D013003:Somatosensory Cortex / Q000502:physiology; D013355:Subdural Space / Q000502:physiology; D014584:User-Computer Interface