New data on adaptive DBS just dropped: A smarter way to treat Parkinson’s disease? Adaptive means the system can adjust stimulation in real time based on brain signals rather than by delivering constant stimulation. The investigators describe in a new abstract presented this week at the American Academy of Neurology Annual Meeting how adaptive deep brain stimulation is being applied to Parkinson’s disease and how it may improve symptom control.
Key points:
- Adaptive DBS used real time brain signals to adjust stimulation dynamically rather than continuously. There were 68 folks enrolled.
- This approach showed improved control of motor symptoms including fluctuations and dyskinesia.
- The system reduced unnecessary stimulation, suggesting potential for fewer side effects and improved efficiency. They reported 98% opted for an adaptive approach.
My take: This is important data for the field as we move toward precision neuromodulation. DBS has been life changing for many folks, however it has largely been delivered in an open loop fashion. Moving to adaptive systems means we can listen to the brain and responding in real time.
Here are 5 points that resonated w/ me from the AAN abstract:
1- DBS may be shifting from constant stimulation to responsive and personalized therapy.
2- Brain signals such as beta activity may serve as useful biomarkers to guide treatment.
3- Reducing excess stimulation could lower side effects and extend device longevity.
4- Adaptive systems may better handle fluctuations that occur throughout the day.
5- The future of Parkinson’s care may include fully closed loop systems that will integrate brain signals, symptoms and behavior and do it in real time.
https://www.aan.com/MSA/Public/Events/AbstractDetails/55517 #michaelokun #fixelinstitute #parkinson

April 23, 2026

@michaelokun

New data on adaptive DBS just dropped: A smarter way to treat Parkinson’s disease? Adaptive means the system can adjust stimulation in real time based on brain signals rather than by delivering constant stimulation. The investigators describe in a new abstract presented this week at the American Academy of Neurology Annual Meeting how adaptive deep brain stimulation is being applied to Parkinson’s disease and how it may improve symptom control. Key points: - Adaptive DBS used real time brain signals to adjust stimulation dynamically rather than continuously. There were 68 folks enrolled. - This approach showed improved control of motor symptoms including fluctuations and dyskinesia. - The system reduced unnecessary stimulation, suggesting potential for fewer side effects and improved efficiency. They reported 98% opted for an adaptive approach. My take: This is important data for the field as we move toward precision neuromodulation. DBS has been life changing for many folks, however it has largely been delivered in an open loop fashion. Moving to adaptive systems means we can listen to the brain and responding in real time. Here are 5 points that resonated w/ me from the AAN abstract: 1- DBS may be shifting from constant stimulation to responsive and personalized therapy. 2- Brain signals such as beta activity may serve as useful biomarkers to guide treatment. 3- Reducing excess stimulation could lower side effects and extend device longevity. 4- Adaptive systems may better handle fluctuations that occur throughout the day. 5- The future of Parkinson’s care may include fully closed loop systems that will integrate brain signals, symptoms and behavior and do it in real time. https://www.aan.com/MSA/Public/Events/AbstractDetails/55517 #michaelokun #fixelinstitute #parkinson


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