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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.

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

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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