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NormNets SIGNED

Normalization of Multimodal Brain Networks for Integral and Predictive Mapping of Neurological Disorders

Total Cost €

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EC-Contrib. €

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Partnership

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 NormNets project word cloud

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

medicine    pioneer    firstly    interacting    constitute    precision    modality    power    disorder    remarkably    receive    accelerate    dmri    diffusion    network    training    brain    neuroscience    signature    resonance    normalizing    normalization    imaging    genetic    integration    networks    consolidate    landscape    population    scene    endorsement    health    unprecedented    name    economic    substantially    disease    geometric    sectoral    neurological    interdisciplinary    tools    social    career    revealed    leveraging    connectional    functional    cross    modal    estimating    technique    integral    shared    connectivity    evolution    area    caused    disorders    quality    learning    formidable    human    despite    predictive    normnets    secondly    spans    representative    neuroimaging    deep    cbt    multimodal    alzheimer    disciplinary    meet    alterations    stakeholders    contribution    fmri    units    rooted    mapping    modern    metabolic    fellowship    science    secondment    host    lifespan    magnetic    connectomics    alone    international    template    foreseeing   

Project "NormNets" data sheet

The following table provides information about the project.

Coordinator
ISTANBUL TEKNIK UNIVERSITESI 

Organization address
address: AYAZAGA KAMPUSU
city: MASLAK ISTANBUL
postcode: 34469
website: www.itu.edu.tr

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 Turkey [TR]
 Total cost 145˙355 €
 EC max contribution 145˙355 € (100%)
 Programme 1. H2020-EU.4. (SPREADING EXCELLENCE AND WIDENING PARTICIPATION)
 Code Call H2020-WF-02-2019
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-04-01   to  2022-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ISTANBUL TEKNIK UNIVERSITESI TR (MASLAK ISTANBUL) coordinator 145˙355.00

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 Project objective

Modern network science has introduced exciting new opportunities for understanding the brain as a complex system of interacting units in both health and disease and across the human lifespan. Despite the rapidly growing interdisciplinary science of complex networks, which spans the range from genetic and metabolic networks all the way up to social and economic systems, it remains a formidable challenge to identify the most representative and shared brain alterations caused by a specific disorder (e.g., Alzheimer’s disease), namely ‘disorder signature’, in a population of brain networks, let alone multi-modal brain networks where each brain network is derived from a particular neuroimaging modality (e.g., functional or diffusion magnetic resonance imaging (fMRI or dMRI)). Such integral signature can be revealed by what I name as a multimodal connectional brain template (CBT), which would constitute an unprecedented contribution to network neuroscience, rooted in firstly learning brain connectivity normalization and secondly foreseeing its evolution. During this fellowship, I will develop NormNets, a novel technique leveraging the power of geometric deep-learning to meet this challenge by normalizing a population of multimodal brain networks. Particularly, NormNets tools will substantially advance the field of network neuroscience by estimating not only an integral but also a predictive mapping of neurological disorders. In addition to the multi-disciplinary high-quality training I will receive at both host and secondment institutions, this fellowship will remarkably consolidate and accelerate my career on the international landscape scene in the new cross-disciplinary area of “geometric deep learning & integration connectomics” I will pioneer during this fellowship. With the endorsement of international multi-sectoral stakeholders, open NormNets resources will impact on and contribute towards the development of connectomics-rooted predictive precision medicine.

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

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