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Parkinson's Disease: Treatment

Parkinson's Disease: Treatment

Neurodegenerative disorders, such as Parkinson's Disease (PD), involve the gradual and irreversible destruction of neurons in particular brain areas. These disorders exhibit standard features like proteinopathies, selective vulnerability of some neurons, and an interaction of intrinsic properties, genetics, and environmental influences in neural injury.
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of...

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Updated: Mar 29, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

Computer-Guided Deep Brain Stimulation Programming for Parkinson's Disease.

Dustin A Heldman¹, Christopher L Pulliam¹, Enrique Urrea Mendoza²

¹Great Lakes NeuroTechnologies Inc., Cleveland, OH, USA.

Neuromodulation : Journal of the International Neuromodulation Society

|December 2, 2015

Summary

This summary is machine-generated.

Computer-guided deep brain stimulation (DBS) programming using motion sensors optimized settings, significantly improving Parkinson's disease tremor and bradykinesia. This approach requires minimal clinician input and shows promise for wider accessibility.

Keywords:

Deep brain stimulation (DBS)Parkinson's disease motion sensing objective measures programming strategies

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Last Updated: Mar 29, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

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Published on: July 16, 2014

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

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Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

Published on: July 14, 2023

Area of Science:

Neurology
Biomedical Engineering

Background:

Parkinson's disease (PD) management often relies on Deep Brain Stimulation (DBS).
Optimizing DBS stimulation settings is crucial for symptom control but can be complex and time-consuming.
Objective, quantitative assessments are needed to refine DBS programming.

Purpose of the Study:

To evaluate a novel computer-guided DBS programming method.
To utilize objective motion sensor data for optimizing DBS stimulation parameters.
To assess the efficacy of this automated approach in improving motor symptoms in PD patients.

Main Methods:

A pilot study involved seven Parkinson's disease patients with new DBS systems.
A motion sensor measured tremor and bradykinesia severity during automated stimulation surveys.
A software algorithm selected optimal DBS settings to minimize motor symptoms, side effects, and battery consumption.

Main Results:

Computer-guided programming identified optimal DBS settings based on motion sensor data.
The selected settings resulted in a 35.7% average improvement in tremor and bradykinesia compared to the baseline 'off' state.
Statistical analysis showed significant improvement (p < 0.01).

Conclusions:

Motion sensor-based, computer-guided DBS programming effectively improved motor symptoms in PD.
This automated method achieved significant results with reduced clinician involvement.
Further research into automated motion sensor-based mapping could expand access to DBS programming.