Decoding impairments of gait and balance from local field potentials in patients with Parkinson's disease.

Información del proyecto

gaitDCODE

Identificador del acuerdo de subvención: 793419

DOI

10.3030/793419

Proyecto finalizado el 11 Mayo 2019

Fecha de la firma de la CE 21 Marzo 2018

Fecha de inicio 1 Abril 2018

Fecha de finalización 31 Marzo 2020

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 175 419,60

Aportación de la UE

€ 175 419,60

Coordinado por

CENTRE HOSPITALIER UNIVERSITAIRE VAUDOIS
Switzerland

Objetivo

Parkinson's disease (PD) is one of the most prevalent neurodegenerative disorders, affecting more than ten million people worldwide. Over the past decades, dopaminergic and surgical therapies have been optimized to treat upper-limb motor symptoms such as tremor, bradykinesia or rigidity with remarkable outcomes. However, these interventions are poorly effective to alleviate gait and balance deficits, which remain amongst of the most incapacitating symptoms affecting everyday mobility and quality of life in subjects with PD. Alternative stimulation strategies and novel surgical targets showed promises to improve gait. However, the lack of mechanistic insights and reliable readouts capturing the relationships between neural activity and leg motor dysfunction have prevented the development of effective, evidence-based therapies. Project gaitDCODE seeks to address these limitations. The objective of gaitDCODE is (i) to uncover the relationships between detailed patterns of gait deficits and the corresponding neural activity recorded from cortical networks and subthalamus nucleus in subjects with PD, and (ii) to leverage this knowledge to develop decoding algorithms that automatically predict these impairments in real-time. To enable these discoveries, gaitDCODE will build on two key innovations. First, it will exploit the conceptual and methodological expertise that the candidate gained through his work on gait rehabilitation after spinal cord injury, including high-resolution statistical approaches to capture the multi-faceted and time-varying characteristics of gait. Second, it will leverage the latest developments in implantable technology to sense and decode brain activity remotely and in real-time over extensive periods of time. In the long term, gaitDCODE will open up important avenues for the design of patient-specific, closed-loop neuromodulation therapies that address gait and balance deficits in PD using evidence-based models of locomotor deficits.

Ámbito científico (EuroSciVoc)

• ciencias médicas y de la salud › medicina clínica › cirugía
• ciencias médicas y de la salud › medicina clínica › fisioterapia
• ciencias naturales › ciencias biológicas › biofísica
• ciencias médicas y de la salud › medicina básica › neurología › parkinson

Palabras clave

• Locomotion
• Parkinson's disease
• Local Field Potential
• Real-time decoding

Programa(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions PROGRAMA PRINCIPAL
  
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
  

Tema(s)

• MSCA-IF-2017 - Individual Fellowships
  

Régimen de financiación

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Convocatoria de propuestas

H2020-MSCA-IF-2017

Coordinador

CENTRE HOSPITALIER UNIVERSITAIRE VAUDOIS

• Aportación neta de la UEn: € 175 419,60
• Dirección: RUE DU BUGNON 21 ; 1011 Lausanne ; Suiza
• Región: Schweiz/Suisse/Svizzera › Région lémanique › Vaud
• Tipo de actividad: Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
• Coste total: € 175 419,60