Project description
Novel control system algorithm for deep brain stimulation
Deep brain stimulation (DBS) involves a procedure to implant a device that sends electrical signals to brain areas responsible for body movement. In recent years, DBS has emerged as a treatment for the symptoms of Parkinson's disease. However, the mechanisms of DBS are poorly understood, and patient treatment is inefficient due to the suboptimal programming of stimulus parameters. Current DBS systems operate in an 'open-loop' configuration with parameters empirically set for the remaining time of stimulation. Closed-loop DBS represents a new approach that has the potential to overcome current limitations by automatically adjusting stimulation parameters as required. The EU-funded DBScontrol project has developed computational models of the neural circuits in the brain during DBS to test novel algorithms for closed-loop treatment. The goal of the current feasibility phase is to demonstrate an implementation on a prototype device and carry out pre-clinical testing in animal models.
Objective
Over the past 25 years deep brain stimulation (DBS) has emerged as an effective treatment for the symptoms of Parkinson's disease (PD). Despite its success, the mechanisms of DBS are not yet fully understood. Moreover, patients experience side effects and poor control of symptoms associated with suboptimal programming of stimulus parameters. Current DBS systems operate in an 'open-loop' configuration with stimulus parameters (pulse amplitude, duration and frequency) empirically set and remaining fixed over time. Closed-loop DBS offers an alternative approach that has the potential to overcome current limitations and increase therapeutic efficacy, while reducing side-effects and increasing battery life, by automatically adjusting stimulation parameters as required. Although the potential benefits of closed-loop DBS are widely recognised, these systems have not yet been implemented clinically. Under the parent ERC project DBSmodel, we have developed biophysically detailed computational models of the neural circuits in the brain during DBS and are using these to develop and test novel algorithms for closed-loop DBS. Before these can be trialled in humans, however, feasibility must first to be demonstrated through implementation on a prototype device and pre-clinical testing in animal models. ERC proof of concept funding will enable us to do this by implementing and testing a novel closed-loop DBS system in an animal model of PD. The experimental validation will confirm the efficacy of a prototype solution suitable for translation to human studies.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- medical and health sciencesbasic medicineneurologyparkinson
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Programme(s)
Funding Scheme
ERC-POC-LS - ERC Proof of Concept Lump Sum PilotHost institution
4 Dublin
Ireland