Obiettivo Any cognitive function is associated with a brain process that can be investigated by studying the neural networks recruited. These networks are characterized spatially and temporally using complementary neuroimaging measures, namely functional Magnetic Re sonance Imaging (fMRI), Electroencephalography (EEG) and Magnetoencephalography (MEG). However, the full and dynamical quantification of brain processes still requires a common and biologically plausible model to explain both the hemodynamic and electromag netic responses. Moreover, conjoint analyses need to be developed in order to identify the modelled dynamical systems and to perform statistical inference on the brain processes of interest. This constitutes an outstanding and multidisciplinary challenge f or the whole neuroscience and neuroimaging community. My project is to conceive and provide a novel cross-modal framework for assessing large-scale functional integration (functional brain connectivity). This includes - providing a common generative model of fMRI and EEG/MEG signals; - developing methods for the identification of this dynamical causal model and the conjoint analysis of multimodal data; - evaluating those approaches in the context of numerical and real experiments; - disseminating the method s and results by means of international publications and the release of validated routines. I will rely upon my previous experience in Bayesian inference and data fusion. I also expect to benefit from the rich interdisciplinary environment of the Functiona l Imaging Laboratory (FIL) and the associated Institute of Cognitive Neuroscience (ICN) in London. This project should have a profound impact on the characterization of brain dynamics, especially for a better understanding of context-dependent strategies l eading to preferential recruitment of particular neural networks. This is crucial for investigating brain plasticity, with consequences to both cognitive research and clinical applications. Campo scientifico natural sciencesbiological sciencesneurobiologycognitive neurosciencenatural sciencesmathematicsapplied mathematicsstatistics and probabilitybayesian statisticsnatural sciencesmathematicsapplied mathematicsdynamical systemsnatural sciencesmathematicsapplied mathematicsmathematical modelnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Parole chiave functional connectivity information fusion multimodal neuroimaging Programma(i) FP6-MOBILITY - Human resources and Mobility in the specific programme for research, technological development and demonstration "Structuring the European Research Area" under the Sixth Framework Programme 2002-2006 Argomento(i) MOBILITY-2.1 - Marie Curie Intra-European Fellowships (EIF) Invito a presentare proposte FP6-2004-MOBILITY-5 Vedi altri progetti per questo bando Meccanismo di finanziamento SCF - Marie Curie actions-Series of events Coordinatore INSTITUTE OF NEUROLOGY, UNIVERSITY COLLEGE LONDON Contributo UE Nessun dato Indirizzo Wellcome Department of Imaging Neuroscience, 12 Queen Square LONDON Regno Unito Mostra sulla mappa Collegamenti Sito web Opens in new window Costo totale Nessun dato
