Multiple sclerosis; High field MRI-Cerebellum; Epstein Barr virus; Early markers of disease; Biologico-radiological scores
Simioni Samanta, Amarù Fabio, Bonnier Guillaume, Kober Tobias, Rotzinger David, Du Pasquier Renaud, Schluep Myriam, Meuli Reto, Sbarbati Andrea, Thiran Jean-Philippe, Krueger Gunnar, Granziera Cristina (2014), MP2RAGE provides new clinically-compatible correlates of mild cognitive deficits in relapsing-remitting multiple sclerosis., in Journal of neurology
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Krueger Gunnar, Granziera Cristina (2012), The history and role of long duration stimulation in fMRI., in NeuroImage
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Guillaume Bonnier13 Alexis Roche1 David Romascano12 Samanta Simioni3 Djalel Meskaldji2 David, Advanced MRI unravels the nature of tissue alterations in early multiple sclerosis, in Annals of Clinical and Traslational Neurology
Cristina Granziera, Till Sprenger, Brain inflammation, degeneration and plasticity in multiple sclerosis, in Arthur Toga (ed.), Elsevier, Oxford, 00.
Krueger Gunnar, Granziera Cristina, Jack Clifford R, Gunter Jeffrey L, Littmann Arne, Mortamet Bénédicte, Kannengiesser Stephan, Sorensen Alma Gregory, Ward Chadwick P, Reyes Denise A, Britson Paula J, Fischer Hubertus, Bernstein Matt A, Effects of MRI scan acceleration on brain volume measurement consistency., in Journal of magnetic resonance imaging : JMRI
Cristina Granziera, Katrin Weier, Till Sprenger, MRI in clinical management of multiple sclerosis, in Arthur Toga (ed.), Elsevier, Oxford, 107.
Multiple sclerosis (MS) is a chronic disorder of the central nervous system characterized by a dynamic sequence of inflammatory, restorative and degenerative processes. Previous studies have shown the potential of magnetic resonance imaging (MRI) to better understand MS physiopathology and to perform diagnosis. More recent MRI studies aim at providing biomarkers of disease progression and response to therapy. However, the correlation between MRI findings and clinical deficits in MS patients remains insufficient, indicating that a more comprehensive understanding of the disease and its evolution is needed.Recent advances in MRI technology provide higher sensitivity and new contrasts. This opens further perspectives, especially to investigate (a) the early stages of MS and (b) disease-related alterations in complex brain structures like the cerebellum. Interestingly, cerebellar alterations have been poorly studied, despite they may strongly affect patients’ outcome and could provide valuable markers of disease. In the present project, we will investigate MS patients at very early stages of the disease and follow them over 2 years by using the following approaches:1.) exploiting advanced MRI techniques to characterize the alterations of the cerebellum in MS. Using multi-contrast 3D high resolution whole brain MRI, we aim at obtaining higher sensitivity to lesion count and at investigating lesion properties, to identify imaging markers that complement conventional MRI procedures in MS diagnosis and disease monitoring, 2.) merging MRI markers of cerebellar pathology with the alterations observed in the brain hemispheres in order to develop a global radiological score considering lesions count and tissue characteristics as well as clinical scores. Serial imaging and clinical data of a 2 year interval will be used to extend the model to predict disease evolution, and3.) combining the global clinico-radiological score with a biological marker of MS, the Epstein Barr Virus (EBV). Numerous works have shown that EBV virus may play a triggering role in MS and we hypothesize that combining the global score and biological markers will further increase accuracy for monitoring the disease and improve the understanding of the physiopathology of cortical lesions. In summary, our project will apply state of the art MRI resources to investigate unexplored aspects of MS physiopathology in early stages of the disease, evaluate these aspects as potential markers of disease and develop a combined score from MRI, biological tests and clinical analysis for disease classification, evolution and prognosis.