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Section: Partnerships and Cooperations
European Initiatives
FP7 & H2020 Projects
ERC AdG CoBCoM
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One third of the burden of all the diseases in Europe is due to problems caused by diseases affecting brain. Although exceptional progress has been obtained for exploring it during the past decades, the brain is still terra-incognita and calls for specific research efforts to better understand its architecture and functioning.
CoBCoM is our response to this great challenge of modern science with the overall goal to develop a joint Dynamical Structural-Functional Brain Connectivity Network (DSF-BCN ) solidly grounded on advanced and integrated methods for diffusion Magnetic Resonance Imaging (dMRI) and Electro & Magneto-Encephalography (EEG & MEG).
To take up this grand challenge and achieve new frontiers for brain connectivity mapping, we will develop a new generation of computational models and methods for identifying and characterizing the structural and functional connectivities that will be at the heart of the DSF-BCN . Our strategy is to break with the tradition to incrementally and separately contributing to structure or function and develop a global approach involving strong interactions between structural and functional connectivities. To solve the limited view of the brain provided just by one imaging modality, our models will be developed under a rigorous computational framework integrating complementary non invasive imaging modalities: dMRI, EEG and MEG.
CoBCoM will push far forward the state-of-the-art in these modalities, developing innovative models and ground-breaking processing tools to provide in-fine a joint DSF-BCN solidly grounded on a detailed mapping of the brain connectivity, both in space and time.
Capitalizing on the strengths of dMRI, MEG & EEG methodologies and building on the bio-physical and mathematical foundations of our new generation of computational models, CoBCoM will be applied to high-impact diseases, and its ground-breaking comput ational nature and added clinical value will open new perspectives in neuroimaging.
ERC StG NeuroLang
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Project title: Accelerating Neuroscience Research by Unifying Knowledge Representation and Analysis Through a Domain Specific Language
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Partners: Athena project-team (Till Oct. 2017). PARIETAL project-team (Since Nov. 2017)
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Abstract: The grand challenge of NeuroLang is to unify neuroanatomical descriptions into a formal language embodied by a Domain Specific Language (DSL) which can be used to perform neuroimaging data analysis. NeuroLang will formalise neuroanatomical knowledge into a DSL, providing an individualized as well as a population-based methodology to represent the anatomy and function of the brain and facilitating the analysis of large neuroimaging datasets and ontologies. Besides formalizing and unifying neuroanatomy, there are four major challenges in NeuroLang: (i) Developing a Neuroanatomical DSL,(ii) Representation of Neuroanatomical Data, (iii) Enabling Large-Scale Inference in a Neuroanatomical DSL and (iv) Reproducible Research and Applicability in Clinical and Cognitive Research.
ChildBrain ETN
Athena is an Associated Partner in the ChildBrain European Training Network: the team participates in training workshops and receive PhD students in secondments.
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Project title: Advancing brain research in children's developmental neurocognitive disorders
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Coordinator: Prof. Paavo Leppänen, University of Jyváskylä, Finland
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Other partners: University of Leuven (Belgium), University of Münster (Germany), Rabboud University (The Netherlands), Aston University (United Kingdom), IcoMetrix (Belgium), Elekta (Finland), BESA (Germany)
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Abstract: The purpose of the ChildBrain ETN is to train young scientists, i.e. Early Stage Researchers (ESRs), to utilise evidence-based neuroscientific knowledge for helping children, especially those at high risk for dropout due to neurocognitive disorders, to meet future educational and societal demands.