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.

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

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.)

DEF2DEV (2019)

Identification of the mode of action of plant defensins during root development and plant defense responses.

Read More  

CREDit (2020)

Chronological REference Datasets and Sites (CREDit) towards improved accuracy and precision in luminescence-based chronologies

Read More  

NarrowbandSSL (2019)

Development of Narrow Band Blue and Red Emitting Macromolecules for Solution-Processed Solid State Lighting Devices

Read More