Kevin Reeves
Papers
1
Total Citations
41
H-Index
1
About
Kevin Reeves is a leading figure in the evolution of deep brain stimulation (DBS), a field he has helped transform through his work on next-generation hardware and surgical techniques. His research focuses on integrating directionality, sensing technologies, and remote programming into DBS, moving the procedure beyond its traditional applications in movement disorders to treat epilepsy and psychiatric conditions. Reeves’s seminal 2021 paper, which has garnered 41 citations, serves as a definitive roadmap for these innovations, detailing advances in robotic stereotactic assistance, asleep surgical procedures, and connectomics. By championing these technologies, he has significantly improved the precision and safety of DBS, enabling more personalized and effective neuromodulation. His work stands as a cornerstone for researchers and clinicians alike, illustrating how engineering and neuroscience converge to expand the therapeutic reach of DBS and enhance patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1