Brain-Computer Interfaces for Closed-Loop Deep Brain Stimulation

My primary reseabci_dbsrch project focuses on human learning during use of fully-implanted brain-computer interfaces (BCIs). The BCIs that I work with utilize deep brain stimulators (DBS), a device that originally received FDA approval to treat neurological movement disorders such as essential tremor and Parkinson’s disease. Subjects in my research have a strip of electrodes implanted over their motor cortex during their DBS surgery (a diagram of the implanted system is shown to the left) and are able to participate in BCI research for months to years at a time. My current research aims to study (1) how chronic BCIs can be leveraged for side-effect mitigation in closed-loop DBS systems and (2) how individuals most successfully learn to use a BCI and how they retain this knowledge over time; my work would benefit future long-term BCI users by improving BCI training schemes and BCI controller design.

Relevant Publications:

  1. B. C. Houston, M. C. Thompson, J. G. Ojemann, A. L. Ko, H. J. Chizeck, “Classifier-Based Closed-Loop Deep Brain Stimulation for Essential Tremor,” in the 8th International IEEE EMBS Conference on Neural Engineering, May 2017, Shanghai, China.
  2. J. Herron, M. Thompson, T. Brown, J. Ojemann, H. J. Chizeck, A. L. Ko, “Chronic ECoG for Sensing Movement Intention and Closed-Loop DBS with Wearables in an Essential Tremor Patient,” Journal of Neurosurgery, 2016.
  3. M. C. Thompson, J. A. Herron, T. Brown, J. G. Ojemann, A. L. Ko, H. J. Chizeck, “Demonstration of a stable chronic electrocorticography-based brain-computer interface using a deep brain stimulator,” in the IEEE International Conference on Systems, Man, and Cybernetics, October 2016, Budapest, Hungary.
  4. M. Thompson, J. Herron, A. Ko and H. J. Chizeck, “Demonstration of a Chronic Brain-Computer Interface using a Deep Brain Stimulator” in the 6th International Brain-Computer Interface Meeting, May 2016, Asilomar, CA.
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