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DynamicBrainStates

Monitoring changes in brain states using dynamical causal networks

Total Cost €

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EC-Contrib. €

0

Partnership

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Project "DynamicBrainStates" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITEIT MAASTRICHT 

Organization address
address: Minderbroedersberg 4-6
city: MAASTRICHT
postcode: 6200 MD
website: http://www.maastrichtuniversity.nl

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 Netherlands [NL]
 Total cost 177˙598 €
 EC max contribution 177˙598 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT MAASTRICHT NL (MAASTRICHT) coordinator 177˙598.00

Map

 Project objective

I propose a new model and estimation method that will allow Neuroscientists to detect, track, and predict temporal changes in dynamical brain networks non-invasively. These changes underpin shifts in brain (cognitive) states which are currently inaccessible using standard Neuroimaging techniques. The method combines recent advances in dynamical systems theory and Bayesian inference to integrate Electroencephalography (EEG) and Diffusion Weighted Magnetic Resonance Imaging (DWMRI) data in an efficient way. I will provide a proof of concept that the method can be used as a tool for early diagnosis of brain dysfunction. Given the current emphasis on reducing the social and economic impact of neurodegeneration and aging across the EU, I focus on using Transcranial Magnetic Stimulation (TMS) to induce small changes in two exemplars of distributed networks that simulate semantic and motor neurodegeneration as a demonstration of what this method can detect. The proposed approach has the potential to change strategies for screening and early diagnosis of neurodegenerative conditions. It will lead to new clinical applications that will significantly impact the study of the aging brain and mental health, as well as the analysis of a wide variety of normal brain function, such as social behaviour, decision-making, or resting-state.

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

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