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Updated: Jun 19, 2026
Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
Published on: July 16, 2014
The Place of Local Field Potentials in Deep Brain Stimulation Programming for Parkinson's Disease: A Review
Chun Him Shelton Leung1,2, Hugh D Simpson1,2, Dominic Thyagarajan1,2
1Department of Neurology, The Alfred Hospital, Melbourne, VIC 3004, Australia.
Local field potentials (LFPs) show promise in streamlining deep brain stimulation (DBS) programming for Parkinson's Disease (PD). Further research is needed to develop practical LFP algorithms for enhanced patient and clinician programming experiences.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Neurology
Background:
- Parkinson's Disease (PD) management often requires Deep Brain Stimulation (DBS) for advanced symptoms.
- DBS programming is complex and time-consuming.
- Local Field Potentials (LFPs) are now recordable with advanced DBS systems.
Purpose of the Study:
- To review literature on LFP characteristics in PD.
- To understand LFPs' role in assisting DBS programming.
- To identify potential biomarkers like beta oscillations for streamlining DBS.
Main Methods:
- Comprehensive literature search across major databases (OVID MEDLINE, Scopus, Cochrane).
- Screening of 738 identified articles.
- Detailed analysis of 87 selected studies.
Main Results:
- Analyzing LFPs can potentially assist and streamline DBS programming.
- Knowledge gaps and challenges exist, particularly with intraoperative LFPs.
- Beta oscillations are a promising LFP biomarker.
Conclusions:
- Further research is essential to compare LFP-based DBS programming algorithms.
- A simple, practical, and time-saving algorithm is needed.
- Reliable LFP biomarkers can enhance the DBS programming experience for patients and clinicians.
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