Real-Time Brain Pacemaker Adapts to Each Step to Improve Parkinson’s Gait
TL;DR Summary
UCSF researchers developed a closed-loop adaptive deep brain stimulation system that detects step-specific brain signals and automatically modulates stimulation within milliseconds, synchronizing with walking to improve gait symmetry and reduce falls in five Parkinson’s patients—evidence supporting a shift from fixed stimulation to behavior-responsive neuromodulation with potential broader applications.
Topics:health#adaptive-dbs#deep-brain-stimulation#gait#neurotechnology#parkinsons-disease#technology
- Adaptive Deep Brain Stimulation Fixes Parkinson’s Walking Gait Neuroscience News
- Activity-dependent adaptive deep brain stimulation improves gait in Parkinson’s disease Nature
- A smarter brain implant offers new hope for Parkinson's patients NBC Bay Area
- Adaptive DBS Just Ran a Randomized Trial on Gait. The Endpoints FDA Needs to Validate Next Are Nowhere in Current Guidance. The Clinical Trial Vanguard
- Swiss AI brain ‘pacemaker’ helps Parkinson’s patients walk SWI swissinfo.ch
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