Journal article
Decoding movement-related cortical potentials from electrocorticography
Neurosurgical focus, Vol.27(1), pp.E11-E11
07/2009
DOI: 10.3171/2009.4.FOCUS0990
PMCID: PMC3686514
PMID: 19569886
Abstract
Object Control signals for brain-machine interfaces may be obtained from a variety of sources, each with their own relative merits. Electrocorticography (ECoG) provides better spatial and spectral resolution than scalp electroencephalography and does not include the risks attendant upon penetration of the brain parenchyma associated with single and multiunit recordings. For these reasons, subdural electrode recordings have been proposed as useful primary or adjunctive control signals for brain-machine interfaces. The goal of the present study was to determine if 2D control signals could be decoded from ECoG. Methods Six patients undergoing invasive monitoring for medically intractable epilepsy using subdural grid electrodes were asked to perform a motor task involving moving a joystick in 1 of 4 cardinal directions (up, down, left, or right) and a fifth condition (“trigger”). Evoked activity was synchronized to joystick movement and analyzed in the theta, alpha, beta, gamma, and high-gamma frequency bands. Results Movement-related cortical potentials could be accurately differentiated from rest with very high accuracy (83–96%). Further distinguishing the movement direction (up, down, left, or right) could also be resolved with high accuracy (58–86%) using information only from the high-gamma range, whereas distinguishing the trigger condition from the remaining directions provided better accuracy. Conclusions Two-dimensional control signals can be derived from ECoG. Local field potentials as measured by ECoG from subdural grids will be useful as control signals for a brain-machine interface.
Details
- Title: Subtitle
- Decoding movement-related cortical potentials from electrocorticography
- Creators
- Chandan G Reddy - 1Department of Neurosurgery, University of Iowa Hospitals, Iowa City, IowaGoutam G Reddy - 2Massachusetts Institute of Technology, Cambridge, Massachusetts; and, 3Department of Physiology, Northwestern University, Chicago, IllinoisHiroto Kawasaki - 1Department of Neurosurgery, University of Iowa Hospitals, Iowa City, IowaHiroyuki Oya - 1Department of Neurosurgery, University of Iowa Hospitals, Iowa City, IowaLee E Miller - 3Department of Physiology, Northwestern University, Chicago, IllinoisMatthew A Howard III - 1Department of Neurosurgery, University of Iowa Hospitals, Iowa City, Iowa
- Resource Type
- Journal article
- Publication Details
- Neurosurgical focus, Vol.27(1), pp.E11-E11
- DOI
- 10.3171/2009.4.FOCUS0990
- PMID
- 19569886
- PMCID
- PMC3686514
- ISSN
- 1092-0684
- eISSN
- 1092-0684
- Language
- English
- Date published
- 07/2009
- Academic Unit
- Neurology; Iowa Neuroscience Institute; Neurosurgery; Otolaryngology
- Record Identifier
- 9984020504002771
Metrics
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