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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