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PRECONFIG TERMINATED

Learning and PREdiction based on the PREnatal CONnectome FInGerprint

Total Cost €

0

EC-Contrib. €

0

Partnership

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 PRECONFIG project word cloud

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

hampered    statistics    re    interconnected    imaging    cognition    developmental    canonical    standard    techniques    quantitative    provides    model    hold    limitations    treatment    capturing    units    architecture    proof    removal    gestation    synchronously    organize    rapid    insights    exploration    staggering    disorders    reference    emergence    integrating    basis    learning    plasticity    opened    connectomics    network    organization    ultimately    functional    fetal    expediency    macro    shaping    clinical    prenatal    stratification    connectivity    prediction    disease    characterizes    establishing    diagnosis    characterization    utero    accurate    human    additionally    neuroimaging    individual    neurodevelopment    wealth    reproducible    cognitive    diseases    overcome    computational    magnetic    endeavours    brain    neural    preconfig    capability    adapt    mri    algorithm    regarding    structural    fingerprint    resonance    promises    profound    differences    dimensional    connectome    networks    paradigm    artefact    machine   

Project "PRECONFIG" data sheet

The following table provides information about the project.

Coordinator		 MEDIZINISCHE UNIVERSITAET WIEN 

Organization address
address: SPITALGASSE 23
city: WIEN
postcode: 1090
website: www.meduniwien.ac.at

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 Austria [AT]
 Total cost 178˙156 €
 EC max contribution 178˙156 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2018
 Duration (year-month-day) from 2018-11-23   to  2020-11-22

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MEDIZINISCHE UNIVERSITAET WIEN AT (WIEN) coordinator 178˙156.00

Map

 Project objective

'Endeavours towards a more profound understanding of the neural architecture enabling the staggering cognitive abilities of the human brain hold high promises regarding diagnosis and treatment of various diseases affecting the neural system. The novel paradigm of brain connectomics has opened a wealth of insights into the individual differences, emergence, development, plasticity and disease specific re-organization of macro-scale brain networks composed by interconnected and synchronously operating neural units.

Fetal neuroimaging, and in particular fetal magnetic resonance imaging (MRI) provides increasingly rich insights into the rapid prenatal neurodevelopment shaping the human connectome and establishing its capability to enable cognition or adapt and re-organize during disease. However, the exploration and study of this complex, highly multi-dimensional connectivity architecture, and its rapid change during gestation is still hampered by several limitations.

PRECONFIG aims to overcome these limitations by developing novel techniques for the reliable and accurate capturing of structural and functional MRI brain connectivity in utero and integrating them into a quantitative model providing a complex feature-set that characterizes the developing fetal connectome ('fetal connectome fingerprint').

Ultimately, the project will deliver a canonical reference model, and algorithm implementation for artefact removal, brain network development modelling and detailed characterization of developmental disorders based on fetal MRI. Additionally it will provide a standard basis for reproducible and comparable research targeting the fetal connectome. Based on this, it will provide a proof-of-concept on the expediency of computational statistics and machine learning based stratification and prediction for clinical use of fetal MRI. '

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Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

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

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