Opendata, web and dolomites

DISCONNECTOME SIGNED

Brain connections, Stroke, Symptoms Predictions and Brain Repair

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 DISCONNECTOME project word cloud

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

paradigm    medicine    pharmacological    supports    denominator    building    million    plan    personality    patients    neurocircuitry    organisation    profiles    return    treatment    connections    pioneered    introduce    predictors    shift    white    atlas    predict    impacting    biology    symptom    degrading    manipulate    fine    mapping    biological    society    families    notwithstanding    entire    individuals    personalised    fractionate    gather    me    anatomical    idiotypic    associative    prediction    stroke    integrative    structure    treatments    every    connectivity    standard    brain    functions    behavioural    burden    translated    expertise    levels    symptoms    tools    population    supporting    rehabilitation    recovery    impair    exploration    disorders    cognitive    structural    progress    human    characterise    significantly    damaged    modular    reduce    life    preventing    syndromes    discovery    imaging    relationship    persistent    identification    function    specialisation    model    primary    functional    neuropsychological    disconnection    approximately    techniques    deficits    europeans    quality   

Project "DISCONNECTOME" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

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 France [FR]
 Total cost 1˙999˙201 €
 EC max contribution 1˙999˙201 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2024-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 1˙999˙201.00

Map

 Project objective

Every year a brain stroke will impair approximately 2 million Europeans. Notwithstanding recent progress, many of these individuals will have persistent cognitive deficits, impacting their personality, degrading their quality of life and preventing their return to work. Early identification of anatomical predictors of brain recovery may significantly reduce the burden of these deficits on patients, their families and wider society, while also leading to the discovery of new targets for treatments. I have pioneered the development of imaging techniques that allow for the exploration of the relationship between brain disconnection and neuropsychological syndromes. With these tools, I aim to demonstrate that the structural organisation of the human brain's connections is the common denominator supporting functional specialisation and, when damaged, neuropsychological disorders. Building on my expertise, I plan to (1) establish an atlas mapping the function of white matter for the entire human brain, (2) fractionate the stroke population according to disconnection profiles, (3) predict neuropsychological symptoms based on disconnection profiles, and (4) characterise and manipulate the fine biology involved in the disconnection recovery.In so doing, this project will introduce a paradigm shift in the relationship between brain structure, function and behavioural/cognitive disorders. I will deliver a comprehensive biological model of the neurocircuitry that supports neuropsychological syndromes, which will gather the modular organisation of primary idiotypic functions with the integrative organisation of highly associative levels of functions. In the long term, this project will allow me to determine if measures of brain ‘connectivity’ can be translated into advanced standard procedures that provide for a more personalised medicine, that focuses upon rehabilitation and improving the prediction of symptom recovery, while providing new targets for pharmacological treatment.

 Publications

year authors and title journal last update
List of publications.
2020 Stefano Ioannucci, Nathalie George, Patrick Friedrich, Leonardo Cerliani, Michel Thiebaut de Schotten
White matter correlates of hemi-face dominance in happy and sad expression
published pages: , ISSN: 1863-2653, DOI: 10.1007/s00429-020-02040-7
Brain Structure and Function 2020-04-15
2019 Michel Thiebaut de Schotten, Paula L. Croxson, Rogier B. Mars
Large-scale comparative neuroimaging: Where are we and what do we need?
published pages: 188-202, ISSN: 0010-9452, DOI: 10.1016/j.cortex.2018.11.028
Cortex 118 2020-04-15
2020 Stephanie J Forkel, Michel Thiebaut de Schotten
Towards metabolic disconnection – symptom mapping
published pages: 718-721, ISSN: 0006-8950, DOI: 10.1093/brain/awaa060
Brain 143/3 2020-04-15

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DISCONNECTOME" 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 "DISCONNECTOME" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

MOCHA (2019)

Understanding and leveraging ‘moments of change’ for pro-environmental behaviour shifts

Read More  

EAST (2020)

Using Evolutionary Algorithms to Understand and Secure Web/Enterprise Systems

Read More  

CELPRED (2020)

Circuit elements of the cortical circuit for predictive processing

Read More