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MBMsforDOC SIGNED

Model-based biomarkers for the characterization and quantification of global states of consciousness

Total Cost €

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EC-Contrib. €

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Partnership

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Project "MBMsforDOC" data sheet

The following table provides information about the project.

Coordinator
INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE 

Organization address
address: BOULEVARD DE L'HOPITAL 47
city: PARIS
postcode: 75013
website: http://icm-institute.org/

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 196˙707 €
 EC max contribution 196˙707 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2019
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2021
 Duration (year-month-day) from 2021-01-03   to  2023-01-02

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT DU CERVEAU ET DE LA MOELLE EPINIERE FR (PARIS) coordinator 196˙707.00

Map

 Project objective

Studying the brain mechanisms behind consciousness is a major challenge for neuroscience and medicine. Yet so far, there is no such thing as a unique biomarker that can precisely define the state of consciousness of a disorders of consciousness (DOC) patient. All the biomarkers proposed so far are theory-based but empirically defined (EBM; empirical biomarkers): the thresholds that separate categories are set in a data-driven way. In this project, we propose a novel approach using model-based biomarkers (MBM). This new family of biomarkers (MBMs) will not only complement the EBMs but mainly will naturally address the knowledge gaps associated with the understanding of the underlying causal mechanisms behind the different states of consciousness. The modelling of the structural and functional connectivity will be combined with novel, systematic perturbational approaches that can provide new insights into the human brain’s ability to integrate and segregate information over time. In particular, with this approach we will address the hypothesis that MBMs provide functional fingerprinting of conscious states and insights into the underlying necessary and sufficient brain networks as well as their neural mechanisms. To address the development of these biomarkers, we propose a highly interdisciplinary project that combines basic and clinical neuroscience with whole-brain computational modelling proposing a synergy between two groups with large expertise in each area to address a common question We will develop computational whole-brain models based on single-patient neuroimaging data. We will extract MBM from the adjusted model parameters and from in-silico simulations. We will test the utility of these biomarkers for the diagnosis of patients with chronic DOC. Then, we will contrast the MBM with a set of previously developed EBM. Finally, we will analyze the diagnostic and prognostic capacity of these biomarkers in DOC patients in both chronic and acute stages.

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

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lastchecktime (2022-12-04 1:08:24) correctly updated