Adaptive Deep Brain Stimulation: Investigational System Development at the Edge of Clinical Brain Computer Interfacing
Over the last few decades, the use of deep brain stimulation (DBS) to improve the treatment of those with neurological movement disorders represents a critical success story in the development of invasive neurotechnology and the promise of brain-computer interfaces (BCI) to improve the lives of those suffering from incurable neurological disorders. In the last decade, investigational devices capable of recording and streaming neural activity from chronically implanted therapeutic electrodes has supercharged research into clinical applications of BCI, enabling in-human studies investigating the use of adaptive stimulation algorithms to further enhance therapeutic outcomes and improve future device performance. In this talk, Dr. Herron will review ongoing clinical research efforts in the field of adaptive DBS systems and algorithms. This will include an overview of DBS in current clinical practice, the development of bidirectional clinical-use research platforms, ongoing algorithm evaluation efforts, a discussion of current adoption barriers to be addressed in future work.
Access is free to subscribers of the IEEE Brain Community.
Instructor
Dr. Jeffrey Herron
Jeffrey Herron, PhD, is an engineering-focused researcher and assistant professor within the UW Department of Neurological Surgery. He received his PhD in Electrical Engineering from the University of Washington working on adaptive deep brain stimulation techniques to improve treatments for both Essential Tremor and Parkinson's Disease. After concluding his PhD studies, he worked at Medtronic developing new research tools for enhancing neuromodulation research. In particular, he led the development of the Summit System's software API which allows researchers to develop protocol-specific software applications for real-time control of an implanted DBS system capable of both sensing and providing therapeutic stimulation. He returned to UW in January 2019 to work on developing new research tools and systems to explore the applications of bi-directional neural interfaces to enable or improve the treatment of neurological diseases, disorders, and injuries.
Publication Year: 2021