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Abstract #4350

Whole brain multi-metabolite statistical mapping analyses to characterize metabolic disorders in Multiple Sclerosis using combination of two tilted 3D-EPSI acquisitions.

Maxime Donadieu 1,2 , Yann Le Fur 1,2 , Andrew A Maudsley 3 , Angle Lecocq 1,2 , Wafaa Zaaraoui 1,2 , Elisabeth Soulier 1,2 , Marie-Liesse Lesage 1,2 , Sulaiman Sheriff 3 , Mohammad Sabati 3 , Sylviane Confort-Gouny 1,2 , Maxime Guye 1,2 , Jean Pelletier 1,4 , Bertrand Audoin 1,4 , and Jean-Philippe Ranjeva 1,2

1 CRMBM UMR CNRS 7339, Aix Marseille Universit, Marseille, France, Metropolitan, 2 CEMEREM, Pole d'imagerie mdicale, Hopital la Timone, AP-HM, Marseille, France, Metropolitan, 3 Department of Radiology, Miller School of Medicine University of Miami, Miami, Florida, United States, 4 Department of Neurology, Timone University Hospital, Marseille, France, Metropolitan

Using weighted mean of two tilted whole brain 3D-1H EPSI acquisitions acquired in 15 healthy controls, we built metabolic templates of NAA, Glux, tCr, Cho and m-Ins spatially normalized in the MNI atlas. Similar data obtained in 8 RRMS patients allowed to conducting multi-metabolite statistical mapping analyses to evidence patterns of metabolic abnormalities involving decreases in NAA, Glux and Cho, as well as increases in tCr and m-Ins in line with neuronal dysfunction, activated microglia and cellular loss. These data support the promising contribution of statistical mapping analyses applied to whole brain 3D-MRSI to study pathophysiological processes associated to MS.

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