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Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

Biomarkers and Stimulation Algorithms for Adaptive Brain Stimulation.

Kimberly B Hoang¹, Isaac R Cassar², Warren M Grill^1,2,3

¹Department of Neurosurgery, Duke University, Durham, NC, United States.

Frontiers in Neuroscience

|October 26, 2017

Summary

Biomarkers can guide adaptive brain stimulation for neurological diseases. This review explores how physiological signals and other markers can personalize and improve therapeutic brain stimulation efficacy and delivery.

Keywords:

Parkinson's disease beta hypersynchrony closed loop deep brain stimulation epilepsy evoked field potentials phase amplitude coupling responsive brain stimulation

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Area of Science:

Neuroscience
Biomedical Engineering
Neurological Disorders

Background:

Therapeutic brain stimulation shows efficacy in nervous system diseases, but mechanisms remain unclear.
Brain stimulation influences neural networks implicated in specific diseases.
Assessing network activation via symptom alleviation or physiological criteria is crucial.

Purpose of the Study:

To review methods for delivering and adjusting feedback or adaptive brain stimulation based on biomarkers.
To explore the potential of biomarkers for optimizing brain stimulation parameters and understanding disease mechanisms.

Main Methods:

Review of current literature on biomarkers for therapeutic brain stimulation.
Discussion of potential biomarkers including physiological brain activity, local field potentials (LFPs), wearable device data, biochemical changes, blood flow, imaging (MRI), temperature, and optogenetic signals.
Emphasis on the need to correlate biomarkers with symptom improvement and network activation.

Main Results:

Biomarkers could aid intraoperative localization, enhance stimulation efficacy and efficiency (e.g., reduced power), and enable long-term adaptive adjustments.
Numerous biomarkers are being considered for various stimulation applications.
The feasibility and direct correlation of these biomarkers with treatment outcomes require further determination.

Conclusions:

Biomarker-guided adaptive stimulation holds promise for personalized neurological treatment.
Critical questions remain regarding the superiority of adaptive over continuous stimulation and the role of abnormal network function.
Further research is needed to validate biomarkers and determine the full potential of adaptive brain stimulation systems.