Optimal spatial resolution of epidural and subdural electrode arrays for brain-machine interface applications.
Brain-machine interfaces (BMIs) have the potential to improve quality of life for thousands of motor-impaired individuals. Many different signal sources have been investigated for use in controlling a BMI, including scalp EEG, field potentials from inside and the surface of the cerebral cortex, and single-neuron action potentials. A relatively unexplored region for recording signals is the epidural space. This study attempts to help determine the optimal spatial resolution of epidural and subdural electrode arrays using both a mathematical model and spatial spectral analysis. For rats, optimal spacing for both epidural and subdural electrodes was approximately 0.7 mm.
Slutzky
Marc W
MW
Departments of Neurology and Physical Medicine and Rehabilitation, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA. mslutzky@md.northwestern.edu
Jordan
Luke R
LR
Miller
Lee E
LE
D000200:Action Potentials; D001676:Biofeedback, Psychology; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping; D004566:Electrodes; D004569:Electroencephalography / Q000379:methods*; D019054:Evoked Potentials, Motor / Q000502:physiology; D005073:Evoked Potentials, Somatosensory / Q000502:physiology; D006801:Humans; D008328:Man-Machine Systems; D008962:Models, Theoretical; D009474:Neurons / Q000378:metabolism; D009862:Online Systems; D012815:Signal Processing, Computer-Assisted; D014584:User-Computer Interface