Cortical adaptation to a chronic micro-electrocorticographic brain computer interface

Brain-computer interface (BCI) technology decodes neural signals in real time to control external devices. In this study, chronic epidural micro-electrocorticographic recordings were performed over primary motor (M1) and dorsal premotor (PMd) cortex of three macaque monkeys. The differential gamma-b...

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Bibliographic Details
Published in:The Journal of neuroscience 2013-01, Vol.33 (4), p.1326-1330
Main Authors: Rouse, Adam G, Williams, Jordan J, Wheeler, Jesse J, Moran, Daniel W
Format: Article
Language:English
Subjects:
Animals
Brain-Computer Interfaces
Brief Communications
Cerebral Cortex - physiology
Electroencephalography - methods
Macaca
Male
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Summary:Brain-computer interface (BCI) technology decodes neural signals in real time to control external devices. In this study, chronic epidural micro-electrocorticographic recordings were performed over primary motor (M1) and dorsal premotor (PMd) cortex of three macaque monkeys. The differential gamma-band amplitude (75-105 Hz) from two arbitrarily chosen 300 μm electrodes (one located over each cortical area) was used for closed-loop control of a one-dimensional BCI device. Each monkey rapidly learned over a period of days to successfully control the velocity of a computer cursor. While both cortical areas contributed to success on the BCI task, the control signals from M1 were consistently modulated more strongly than those from PMd. Additionally, we observe that gamma-band power during active BCI control is always above resting brain activity. This suggests that purposeful gamma-band modulation is an active process that is obtained through increased cortical activation.
ISSN:0270-6474
1529-2401
1529-2401
DOI:10.1523/jneurosci.0271-12.2013