Author's Department/Program
Biomedical Engineering
Language
English (en)
Date of Award
5-24-2012
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Chair and Committee
Daniel Moran
Abstract
Electrocorticography: ECoG) is increasingly being identified as a safe and reliable recording technique for both Brain-Computer Interface: BCI) applications as well as neurophysiology studies. This thesis describes some of the first real-time closed-loop BCI studies of chronic ECoG in non-human primates. Epidural microECoG electrodes developed in our lab were implanted in three monkeys with the electrode array centered over primary motor cortex: M1). Monkeys were then trained to perform a one-dimensional BCI task. The BCI control scheme was independent of any prior screening for task-related activity. All three monkeys successfully learned to perform the task with multiple control configurations and each time gained significant performance in 10 days or less. Interelectrode distance between control electrodes was also tested for three different distances. 15 and 9 mm spacing resulted in equivalent performance while 3 mm saw a moderate but significant degradation in performance. Finally, post hoc analysis was performed to analyze various decoding parameters. While decoding parameters were generally well matched to the observed signals, several potential decoding improvements were identified. Overall, these results demonstrate the feasibility of epidural ECoG BCIs, highlight the importance of neural adaptation for BCI control, and quantify various metrics of a current ECoG BCI system to drive further studies.
Recommended Citation
Rouse, Adam, "Neural Adaptation and the Effect of Interelectrode Spacing on Epidural Electrocorticography for Brain-Computer Interfaces" (2012). All Theses and Dissertations (ETDs). 725.
https://openscholarship.wustl.edu/etd/725
Comments
Permanent URL: http://dx.doi.org/10.7936/K7D21VMF