Neurostimulators are moving beyond fixed, always-on stimulation toward therapies that can sense what is happening in the nervous system and adjust in real time. In this episode, we explore adaptive deep brain stimulation for Parkinson’s disease and other movement disorders with Dr. Simon Little, associate professor at the University of California San Francisco.
He will talk with us about how neural recordings, biomarkers, and machine-learning-assisted personalization could help match therapy to a patient’s changing symptoms, medication state, movement, sleep, and daily life — and what this means for the future of responsive neuromodulation.
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