Differently from other DBS systems on the market, the AlphaDBS can be programmed with two different types of stimulation: conventional DBS, which is implemented also by other DBS systems, and adaptive DBS (aDBS) that automatically...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Proyectos interesantes
DBScontrol
Implementation and preclinical testing of a closed loop cont...
150K€
Cerrado
DBSModel
Multiscale Modelling of the Neuromuscular System for Closed...
2M€
Cerrado
IMPACT
Improving the lives of Parkinson s Disease patients while re...
8M€
Cerrado
STOP-Beta
Selectively Targeting Oscillations in Parkinson s disease C...
183K€
Cerrado
DBSBOT
Deep brain stimulation based on the wireless magnetically lo...
174K€
Cerrado
SilVerDBS
Practical design of closed loop DBS algorithms using systema...
185K€
Cerrado
Información proyecto alphadbs
Duración del proyecto: 24 meses
Fecha Inicio: 2023-02-27
Fecha Fin: 2025-02-28
Líder del proyecto
NEWRONIKA SPA
No se ha especificado una descripción o un objeto social para esta compañía.
Presupuesto del proyecto
4M€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
Differently from other DBS systems on the market, the AlphaDBS can be programmed with two different types of stimulation: conventional DBS, which is implemented also by other DBS systems, and adaptive DBS (aDBS) that automatically adjusts the energy delivered to patient using a biosignal, local field potential (LFP), in a close loop configuration. LFPs represent the synchronous presynaptic and postsynaptic activity of neuronal populations and can be recorded with the macro-electrodes routinely implanted for cDBS. In Parkinson Disease, LFPs (especially in beta-band) are specifically modulated by dopamine intake, movement execution and preparation, and that they encode non-motor functions, such as decision making. The beta band power represents the input variable to the adaptive algorithm, implemented by the AlphaDBS system, which, every second computes a new stimulation value.