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.

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

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.)

CODer (2020)

The molecular basis and genetic control of local gene co-expression and its impact in human disease

Read More  

SSHelectPhagy (2019)

Regulation of Selective autophagy by sulfide through persulfidation of protein targets.

Read More  

LiverMacRegenCircuit (2020)

Elucidating the role of macrophages in liver regeneration and tissue unit formation

Read More