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DBScontrol

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Implementation and preclinical testing of a closed loop control system for deep...

Implementation and preclinical testing of a closed loop control system for deep brain stimulation 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 ex... ver más

28/02/2022

NUID UCD

150K€

Presupuesto del proyecto: 150K€

Líder del proyecto

UNIVERSITY COLLEGE DUBLIN NATIONAL UNIVERSITY... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-02-28

ERC-2019-POC: ERC Proof of Concept Grant

I+D

Cerrada hace 6 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

NUID UCD

150.00K€ | Lider

IRISCENE SOFTWARE CORPORATIO...

551.15K€ | Participante

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Duración del proyecto: 27 meses Fecha Inicio: 2019-11-27
Fecha Fin: 2022-02-28

Líder del proyecto

UNIVERSITY COLLEGE DUBLIN NATIONAL UNIVERSITY... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 150K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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