Opendata, web and dolomites
  1. home
  2. trasparenza
  3. open h2020
  4. preconfig

PRECONFIG TERMINATED

Learning and PREdiction based on the PREnatal CONnectome FInGerprint

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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. '

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PRECONFIG" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

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

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

5G-ACE (2019)

Beyond 5G: 3D Network Modelling for THz-based Ultra-Fast Small Cells

Read More  

MNSWLGM (2019)

An optofluidic platform based on liquid-gradient refractive index microlens for the isolation and quantification of extracellular vesicles

Read More  

TheaTheor (2018)

Theorizing the Production of 'Comedia Nueva': The Process of Play Configuration in Spanish Golden Age Theater

Read More