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BrainModes SIGNED

Personalized whole brain simulations: linking connectomics and dynamics in the human brain

Total Cost €

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EC-Contrib. €

0

Partnership

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 BrainModes project word cloud

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

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Project "BrainModes" data sheet

The following table provides information about the project.

Coordinator
CHARITE - UNIVERSITAETSMEDIZIN BERLIN 

Organization address
address: Chariteplatz 1
city: BERLIN
postcode: 10117
website: www.charite.de

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 Germany [DE]
 Total cost 1˙870˙588 €
 EC max contribution 1˙870˙588 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-CoG
 Funding Scheme ERC-COG
 Starting year 2016
 Duration (year-month-day) from 2016-08-01   to  2021-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CHARITE - UNIVERSITAETSMEDIZIN BERLIN DE (BERLIN) coordinator 1˙870˙588.00

Map

 Project objective

Background. We have detailed maps of brain structure and function, yet are lacking understanding of how the highly connected units interact and give rise to mental processes. The Virtual Brain (TVB), a whole brain simulation framework, aims to bridge that gap. Yet it is still developing. We are proposing here breakthrough advances that reveal mechanisms of brain function and foster collaboration between research groups. Vision. Clinical applications that simulate individual patient brains and predict trajectories of recovery or decline or test therapies to select the best one for that person. Goal. Using biologically realistic brain models and multimodal functional and structural imaging data to elucidate control mechanisms of the human brain in aging. A database collects key data and allows identifying most generic models and mechanisms below the spatial and temporal resolution of non-invasive imaging techniques taking into account the complex interaction in the brain that without a model would be impossible to keep track of. Objectives. 1) Parameter optimization for large parameter space search and a library of dynamical regimes linking dynamical regimes and underlying mechanisms to biological (cognitive) age. 2) Identifying the role of intrinsic plasticity for network reconfigurations in the resting state and its age dependency. 3) Model based identification of task related plasticity mechanisms and their functional consequences for network reconfigurations in coordination learning in aging. 4) An interactive tool that provides access to the dynamical regimes library and makes pre-computed simulations easily accessible allowing researchers to benefit and learn from existing work. Impact. Understanding development, aging and brain disorders from the perspective of disruption of information processing architectures provides an opportunity for new interventions that re-establish control in brain pathology hence posing a breakthrough in the health and biotech sector.

 Publications

year authors and title journal last update
List of publications.
2017 Etay Hay, Petra Ritter, Nancy J. Lobaugh, Anthony R. McIntosh
Multiregional integration in the brain during resting-state fMRI activity
published pages: e1005410, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1005410
PLOS Computational Biology 13/3 2020-04-08
2017 Katharina Glomb, Adrián Ponce-Alvarez, Matthieu Gilson, Petra Ritter, Gustavo Deco
Resting state networks in empirical and simulated dynamic functional connectivity
published pages: 388-402, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2017.07.065
NeuroImage 159 2020-04-08
2018 Michael Schirner, Anthony Randal McIntosh, Viktor Jirsa, Gustavo Deco, Petra Ritter
Inferring multi-scale neural mechanisms with brain network modelling
published pages: , ISSN: 2050-084X, DOI: 10.7554/eLife.28927
eLife 7 2020-04-08
2018 Hannelore Aerts, Michael Schirner, Ben Jeurissen, Dirk Van Roost, Eric Achten, Petra Ritter, Daniele Marinazzo
Modeling Brain Dynamics in Brain Tumor Patients Using the Virtual Brain
published pages: ENEURO.0083-18.2, ISSN: 2373-2822, DOI: 10.1523/eneuro.0083-18.2018
eneuro 5/3 2020-04-08
2019 Leon Stefanovski, Paul Triebkorn, Andreas Spiegler, Margarita-Arimatea Diaz-Cortes, Ana Solodkin, Viktor Jirsa, Anthony Randal McIntosh, Petra Ritter
Linking Molecular Pathways and Large-Scale Computational Modeling to Assess Candidate Disease Mechanisms and Pharmacodynamics in Alzheimer\'s Disease
published pages: , ISSN: 1662-5188, DOI: 10.3389/fncom.2019.00054
Frontiers in Computational Neuroscience 13 2020-04-08
2019 J. Zimmermann, J. Griffiths, M. Schirner, P. Ritter, A. R. McIntosh
Subject specificity of the correlation between large-scale structural and functional connectivity
published pages: 90-106, ISSN: 2472-1751, DOI: 10.1162/netn_a_00055
Network Neuroscience 3/1 2020-04-08
2019 Kelly Shen, Gleb Bezgin, Michael Schirner, Petra Ritter, Stefan Everling, Anthony R. McIntosh
A macaque connectome for large-scale network simulations in TheVirtualBrain
published pages: , ISSN: 2052-4463, DOI: 10.1038/s41597-019-0129-z
Scientific Data 6/1 2020-04-08
2018 J. Zimmermann, A. Perry, M. Breakspear, M. Schirner, P. Sachdev, W. Wen, N.A. Kochan, M. Mapstone, P. Ritter, A.R. McIntosh, A. Solodkin
Differentiation of Alzheimer\'s disease based on local and global parameters in personalized Virtual Brain models
published pages: 240-251, ISSN: 2213-1582, DOI: 10.1016/j.nicl.2018.04.017
NeuroImage: Clinical 19 2020-04-08
2017 Gustavo Deco, Morten L. Kringelbach, Viktor K. Jirsa, Petra Ritter
The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-03073-5
Scientific Reports 7/1 2020-04-08

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