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gaitDCODE TERMINATED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 gaitDCODE project word cloud

Explore the words cloud of the gaitDCODE project. It provides you a very rough idea of what is the project "gaitDCODE" about.

cortical    loop    leverage    first    nucleus    expertise    tremor    stimulation    rehabilitation    pd    insights    locomotor    cord    periods    symptoms    spinal    interventions    balance    time    leg    mechanistic    candidate    therapies    capture    strategies    extensive    subthalamus    worldwide    alternative    million    innovations    limitations    ten    showed    impairments    closed    brain    surgical    neuromodulation    capturing    algorithms    amongst    everyday    life    uncover    resolution    latest    remarkable    gaitdcode    deficits    prevalent    discoveries    models    motor    methodological    promises    dysfunction    gait    alleviate    faceted    people    decode    statistical    lack    sense    conceptual    predict    upper    disorders    subjects    readouts    parkinson    poorly    injury    varying    avenues    recorded    remotely    automatically    quality    decades    corresponding    outcomes    limb    neurodegenerative    relationships    patient    dopaminergic    neural    bradykinesia    gained    incapacitating    patterns    networks    implantable    decoding    disease    rigidity    optimized    prevented    mobility    treat   

Project "gaitDCODE" data sheet

The following table provides information about the project.

Coordinator
CENTRE HOSPITALIER UNIVERSITAIRE VAUDOIS 

Organization address
address: RUE DU BUGNON 21
city: LAUSANNE
postcode: 1011
website: www.chuv.ch

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Project website http://www.emmoraud.net/projects.html
 Total cost 175˙419 €
 EC max contribution 175˙419 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-SE
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE HOSPITALIER UNIVERSITAIRE VAUDOIS CH (LAUSANNE) coordinator 175˙419.00

Map

 Project objective

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.

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The information about "GAITDCODE" are provided by the European Opendata Portal: CORDIS opendata.

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