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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: Dec 26, 2025

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

Smart neuromodulation in movement disorders.

Kyle T Mitchell¹, Philip A Starr²

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

Handbook of Clinical Neurology

|March 14, 2020

Summary

This summary is machine-generated.

Adaptive closed-loop deep brain stimulation (DBS) offers a promising "smart neuromodulation" approach. This technique aims to improve efficacy and reduce side effects for neurological disorders by responding to real-time patient symptoms.

Keywords:

Closed loop Deep brain stimulation Neuronal oscillations Neurophysiology Parkinson disease Smart neuromodulation

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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

Area of Science:

Neuroscience
Biomedical Engineering
Neuromodulation

Background:

Deep brain stimulation (DBS) is an established invasive neuromodulation therapy for movement disorders.
Current DBS systems require manual programming and have limitations in responsiveness and energy efficiency.
Emerging research explores adaptive closed-loop systems for enhanced neuromodulation.

Purpose of the Study:

To review the advancements and potential of adaptive closed-loop deep brain stimulation (DBS).
To discuss the transition from traditional DBS to 'smart neuromodulation' systems.
To highlight the implications for treating movement disorders and other neurological conditions.

Main Methods:

Review of current literature on deep brain stimulation (DBS) and closed-loop systems.
Analysis of advances in understanding brain rhythms and neural interfaces.
Exploration of sensor integration for real-time modulation of stimulation.

Main Results:

Closed-loop DBS systems show potential for greater efficacy and fewer adverse effects compared to traditional methods.
Understanding of brain rhythms linked to neurological symptoms is crucial for developing responsive systems.
Novel bidirectional neural interfaces are enabling new investigative studies.

Conclusions:

Adaptive closed-loop DBS represents a significant advancement in neuromodulation, moving towards 'smart neuromodulation'.
This approach holds promise for optimizing treatment of movement disorders and potentially other conditions like epilepsy and depression.
Generalization of developed hardware and control strategies to diverse brain disorders is anticipated.