Real-time brain stimulation improves gait for Parkinson’s patients
Researchers at UC San Francisco (UCSF) have developed a personalized adaptive deep brain stimulation (aDBS) system that adjusts in real-time to improve gait and reduce falls in people with Parkinson’s disease. According to a study publishing June 15 in Nature Medicine, the implanted stimulator detects neural signals for each step and adjusts stimulation within fractions of a second.
How does adaptive deep brain stimulation improve walking?
The aDBS system identifies specific brain signals associated with the movement of the left and right legs. These signals are embedded directly into the implanted neurostimulator, allowing the device to adjust therapy during each phase of walking without an external computer.
Kenneth H. Louie, PhD, a UCSF post-doctoral scholar and first author of the study, stated that the team identified neural signatures linked to each step to guide stimulation in real time. He noted that the brain contains “remarkably rich information about movement.”
In laboratory tests, the system improved gait symmetry and reduced walking pattern variability. During a blinded, multi-day crossover study in daily life, participants experienced fewer falls while maintaining control of other Parkinson’s symptoms, according to the researchers.
Why is this different from conventional DBS?
Conventional deep brain stimulation delivers a fixed pattern of stimulation regardless of a patient’s activity. Doris D. Wang, MD, PhD, associate professor of neurological surgery at UCSF, explained that standard DBS has limited effects on walking because gait is constantly changing.
Every step requires rapid coordination between the muscles, spinal cord, and brain. The new system responds to the brain’s rhythm of walking, which Wang compared to how a cardiac pacemaker responds to the heart’s rhythm.
What are the potential future applications of this technology?
The UCSF study involved five participants who had already undergone DBS surgery and were using an investigational system. While larger studies are needed, the results suggest that timing stimulation to behavior may improve outcomes beyond conventional methods.
Wang stated that this technology could open the door to future therapies that respond dynamically to cognition, mood, speech, and other brain functions. Researchers envision a future where implanted devices deliver personalized therapy only when and where it is needed.
According to Wang, these intelligent neurostimulators may transform the treatment of brain disorders in a similar way that pacemakers transformed heart disease treatment. Future devices may continuously monitor the brain and immediately respond to a patient’s specific needs.
The full study is available via Nature Medicine at https://www.nature.com/articles/s41591-026-04434-2.
Frequently Asked Questions
How many participants were involved in the UCSF study?
The study enrolled five people with Parkinson’s disease who had previously undergone DBS surgery.
Does the adaptive DBS system require an external computer to function?
No. The neural signals are embedded directly into the implanted neurostimulator, allowing it to adjust stimulation automatically.
What specific improvements were seen in the participants’ walking?
Laboratory testing showed improved gait symmetry and reduced variability in walking patterns, while daily life testing showed a reduction in falls.
How do you think real-time responsive technology will change the future of neurological healthcare?