title: Classification of contralateral and ipsilateral finger movements for electrocorticographic brain-computer interfaces.
abstract: Electrocorticography (ECoG) offers a powerful and versatile platform for developing brain-computer interfaces; it avoids the risks of brain-invasive methods such as intracortical implants while providing significantly higher signal-to-noise ratio than noninvasive techniques such as electroencephalography. The authors demonstrate that both contra- and ipsilateral finger movements can be discriminated from ECoG signals recorded from a single brain hemisphere. The ECoG activation patterns over sensorimotor areas for contra- and ipsilateral movements were found to overlap to a large degree in the recorded hemisphere. Ipsilateral movements, however, produced less pronounced activity compared with contralateral movements. The authors also found that single-trial classification of movements could be improved by selecting patient-specific frequency components in high-frequency bands (> 50 Hz). Their discovery that ipsilateral hand movements can be discriminated from ECoG signals from a single hemisphere has important implications for neurorehabilitation, suggesting in particular the possibility of regaining ipsilateral movement control using signals from an intact hemisphere after damage to the other hemisphere.
authors: Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98105, USA.
authors: Reinhold
authors: R
authors: Scherer
authors: Stavros P
authors: SP
authors: Zanos
authors: Kai J
authors: KJ
authors: Miller
authors: Rajesh P N
authors: RP
authors: Rao
authors: Jeffrey G
authors: JG
authors: Ojemann
mesh_terms: D000328:Adult; D001931:Brain Mapping / Q000379:methods; D002540:Cerebral Cortex / Q000502:physiology*; D004567:Electrodes, Implanted; D004569:Electroencephalography / Q000379:methods / Q000706:statistics & numerical data*; D004576:Electromyography; D004827:Epilepsy / Q000175:diagnosis / Q000534:rehabilitation; D019054:Evoked Potentials, Motor / Q000502:physiology; D005385:Fingers / Q000502:physiology*; D007839:Functional Laterality / Q000502:physiology*; D006801:Humans; D008297:Male; D009044:Motor Cortex / Q000502:physiology; D009068:Movement / Q000502:physiology*; D019736:Prostheses and Implants; D011474:Prosthesis Design / Q000379:methods; D011930:Reaction Time / Q000502:physiology; D013003:Somatosensory Cortex / Q000502:physiology; D013355:Subdural Space / Q000502:physiology; D014584:User-Computer Interface