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Updated: May 16, 2025
Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
Published on: July 14, 2023
Multi-day recordings and adaptive stimulation protocols for in-home collection of deep brain stimulation intracranial
Jonathan P Platt1, Erin M Radcliffe2, Steven L Klimczak3
1University of Colorado Anschutz Medical Campus, Dept. of Neurosurgery, Aurora, CO, USA.
Background:
While open-loop deep brain stimulation (DBS) is an effective therapy for the motor symptoms of Parkinson's Disease (PD), recent work has explored whether closed-loop adaptive DBS (aDBS) may better address fluctuating symptoms through patient-specific and symptom-relevant neurophysiological biomarkers. To aid these investigations, we designed an interface for the research-enabled Summit Medtronic RC+S (RC+S) implanted neurostimulator (INS) to collect multi-day recordings along with the implementation of aDBS therapy.
New Method:
We developed applications in MATLAB for investigating optimal brain recording locations, setting thresholds for real-time analysis, determining the INS's position along with in-home recordings of neural activity, and implementation of aDBS algorithms.
Results:
In a pilot study conducted in PD subjects (n = 5), we successfully determined optimal DBS lead contacts for detecting maximal beta (13-30 Hz) activity for streaming in-home neural activity with closed-loop adjustments to stimulation amplitude (n = 24-27 days). Using a Bluetooth connection method we developed, 95.2 % in-home data was collected.
Comparison With Existing Methods:
The software and hardware applications described in this report provide MATLAB based tools to enable a distributed strategy for interfacing with the RC+S deployed at in-home settings for multi-hour recordings.
Conclusions:
Our interface provides investigators using the RC+S, in the context of aDBS, access to chronic recordings in real-time while providing adaptive stimulation based on continuous data analysis in MATLAB using a USB or Bluetooth connection. Advancing the efforts to characterize relevant biomarkers and develop therapeutic aDBS strategies for those treated with DBS, such as PD.
