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CP-RehOP

Responding or not responding to training; prediction of balance rehabilitation outcome from structural and functional brain networks in Cerebral Palsy.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 CP-RehOP project word cloud

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

provides    physical    suggested    diagnostic    daily    independent    underlying    diffusion    sensorimotor    tool    scales    abnormal    components    life    clinical    unknown    imaging    brain    diagnose    depends    postural    palsy    learning    gait    births    medical    poor    combined    revealed    rehabilitation    networks    injury    assessments    resonance    measuring    world    developmental    mixed    examine    innovative    combination    images    causes    ataxia    weakness    experiment    functional    live    hypothesized    primary    machine    neural    muscle    responsiveness    quality    first    balance    falls    prevalence    kurtosis    insights    mobility    risk    behavioral    training    resting    disability    individual    child    deficit    structural    when    responsive    identification    cerebral    neuroplastic    experimental    fundamental    prediction    children    1000    treatment    disorders    magnetic    cp    occurs    neurological    basic    effectiveness    imbalance   

Project "CP-RehOP" data sheet

The following table provides information about the project.

Coordinator
STICHTING VUMC 

Organization address
address: DE BOELELAAN 1117
city: AMSTERDAM
postcode: 1081 HV
website: www.vumc.nl

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 Netherlands [NL]
 Project website https://www.vumc.nl/afdelingen/revalidatiegeneeskunde/map/CP-RehOP/
 Total cost 177˙598 €
 EC max contribution 177˙598 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-03-01   to  2018-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    STICHTING VUMC NL (AMSTERDAM) coordinator 177˙598.00
2    STICHTING VU NL (AMSTERDAM) participant 0.00

Map

 Project objective

When an injury occurs to the developing brain, as in Cerebral Palsy (CP), these children typically experience sensorimotor disorders such as muscle weakness, abnormal muscle activity, and ataxia. Poor balance control is a primary deficit in CP, which has a large impact on a child’s daily life, since it is crucial for independent mobility and greatly affects the risk of falls. CP is the most common developmental cause of physical disability in the world, with a prevalence of 2-3 in 1000 live births. To improve their quality of life, adequate treatment is essential. However, studies investigating the effectiveness of balance rehabilitation in CP have revealed mixed results. This is due to two reasons. First, due to the various clinical scales and experimental measures available, each measuring different components of balance, it is very complex to diagnose balance control in CP. Second, it is currently unknown which are the underlying neural causes of poor balance control in CP. Since the success of well-targeted treatment depends on this basic knowledge, a novel experiment is suggested that provides fundamental insights in both areas. I will investigate whether balance training can promote postural and gait balance control in CP children. Clinical and experimental measures will be combined to allow for the determination of the best diagnostic tool for imbalance in CP. Using diffusion kurtosis imaging and resting state functional magnetic resonance imaging, I will examine the structural and functional brain networks involved in balance control in CP and whether advances in balance control are supported by neuroplastic changes. As some children will be less responsive to training, it is hypothesized that this innovative combination of behavioral and neurological assessments allows for the identification of the underlying causes of responsiveness, and, most importantly, the prediction of individual responsiveness based on medical brain images, using machine learning.

 Publications

year authors and title journal last update
List of publications.
2017 Pieter Meyns, Jaap Harlaar, Laura van de Pol, Frederik Barkhof, Annemieke Buizer
Can Virtual Reality games improve scores on clinical balance scales in children with cerebral palsy: preliminary results of a randomized controlled clinical trial
published pages: 234-235, ISSN: 0966-6362, DOI: 10.1016/j.gaitpost.2017.06.390
Gait & Posture 57 2019-07-24

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