Viktor Jirsa, Aix-Marseille-Université, “Translational Medicine: from Bifurcations to Epilepsy Surgery”
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Bio
“Translational Medicine: from Bifurcations to Epilepsy Surgery”
Viktor Jirsa is Director of the Inserm Institut de Neurosciences des Systèmes at Aix-Marseille-Université and Director of Research at the Centre National de la Recherche Scientifique (CNRS) in Marseille, France. Dr. Jirsa received his PhD in 1996 in Theoretical Physics and has since then contributed to the field of Theoretical Neuroscience, in particular through the development of large-scale brain network models based on realistic connectivity, linking network dynamics to brain function and imaging. His work has contributed to a better understanding of the resting state, epilepsy and motor coordination. Dr. Jirsa is the curator of the neuroinformatics platform The Virtual Brain (www.thevirtualbrain.org) implicating 11 laboratories worldwide. Dr. Jirsa has been awarded several international and national awards for his research including the Prime of Scientific Excellence (CNRS, 2011), the Early Career Distinguished Scholar Award by NASPSPA in 2004 and the Francois Erbsmann Prize in 2001. He is invited regularly to major international conferences and has given more than 150 invited lectures, including many keynote addresses and plenary lectures. Dr. Jirsa serves on various Editorial and Scientific Advisory Boards and has published more than 130 scientific articles and book chapters, as well as co-edited several books including the Handbook of Brain Connectivity.
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Abstract
“Translational Medicine: from Bifurcations to Epilepsy Surgery“
Over the past decade we have demonstrated that constraining computational brain network models by structural information obtained from human brain imaging (anatomical MRI, diffusion tensor imaging (DTI)) allows patient specific predictions, beyond the explanatory power of neuroimaging alone. This fusion of an individual’s brain structure with mathematical modelling allows creating one model per patient, systematically assessing the modeled parameters that relate to individual functional differences. The functions of the brain model are governed by realistic neuroelectric and neurovascular processes and allow executing dynamic neuroelectric simulation; further modeling features include refined geometry in 3D physical space; detailed personalized brain connectivity (Connectome); large repertoire of mathematical representations of brain region models, and a complete set of physical forward solutions mimicking commonly used in non-invasive brain mapping including functional Magnetic Resonance Imaging (fMRI), Magnetoencephalography (MEG) Electro-encephalography (EEG) and StereoElectroEncephalography (SEEG). So far our large-scale brain modeling approach has been successfully applied to the modeling of the resting state dynamics of individual human brains, as well as aging and clinical questions in stroke and epilepsy. In this talk I will focus on the example of epilepsy and systematically demonstrate the individual steps towards the creation of a personalized epileptic patient brain model.
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