Completed Brain & Nervous System Heart, Stroke & Blood

Temporally patterned closed-loop stimulation for therapy of brain disorders

In plain English

AI plain-English summary

Deep brain stimulation for Parkinson’s disease and tremor currently delivers constant electrical pulses, which can disrupt healthy brain activity and cause side effects. This project aims to make brain pacemakers smarter. The researchers will record abnormal rhythmic electrical activity in the brain and use it to time stimulation pulses precisely—turning stimulation on and off based on the strength of the rhythm, and delivering each pulse at a specific point in the brain’s own electrical cycle. This is analogous to pushing a swing at just the right moment to maximise motion while minimising wasted effort. If successful, the approach could increase the amount of normal movement patients achieve while reducing side effects from unnecessary or poorly timed stimulation. The work first tests techniques in animal models, then in patients. Because the research is still at an experimental stage, it does not yet promise a clinical device. However, similar closed-loop stimulation strategies have already improved treatments for epilepsy and chronic pain, suggesting a clear path toward more adaptive, personalised brain stimulation for movement disorders.

View original technical description
In Parkinson’s disease and tremor, the electrical activity in several different parts of the brain becomes abnormally rhythmic. This increase in rhythmic activity stops the brain controlling movement in a normal way. These diseases can be treated by placing electrodes in the parts of the brain that are abnormally rhythmic and applying continuous electrical pulses. This treatment increases the amount of normal movement, but it can also cause side effects by disrupting the brains healthy activity. Our aim is to improve such brain pacemaker treatments. We will record the rhythmic brain activity and use its features to decide when and how to stimulate in a way that will further increase normal movements and decrease side effects. Firstly, we will use the strength of rhythmic activity to decide when to turn the stimulation on and off. Secondly, we can time a pulse of electricity on a specific part of the rhythm to improve movements as efficiently as possible. This is similar to pushing someone on a swing; pushing them at one point will make them go faster, but at another will make them slow down. We will use experiments in animal models to find the most effective and safest techniques and then test these in patients.

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Researchers

Andrew Sharott (Co-Investigator)Peter Brown (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Neural Oscillations in Health and Disease
Selectively Targeting Oscillations in Parkinson's disease: Causal effects of the beta-rhythm on motor control
Personalised neurostimulation for Parkinson's inspired by neurophysiological improvements observed after physical exercise
Non-invasive brain stimulation to suppress pathological tremors
Computational models of dynamics in brain networks underlying action selection

Original classification

Intramural

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