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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.

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

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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