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Abstract #0913

Vulnerable brain network in a mouse model of Huntington’s disease revealed by gluCEST, magnetization transfer and anatomic imaging.

Jean-Baptiste Perot1,2, Clement M. Garin1,2, Salma Bougacha1,2,3,4, Alexandra Durr5,6, Marc Dhenain1,2, Sandrine Humbert7, Emmanuel Brouillet1,2, and Julien Flament1,2
1Molecular Imaging Research Center (MIRCen), Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Fontenay-aux-Roses, France, 2UMR 9199, Neurodegenerative Diseases Laboratory, Centre National de la Recherche Scientifique (CNRS), Université Paris-Sud, Université Paris-Saclay, Fontenay-aux-Roses, France, 3Inserm UMR-S U1237, Normandie University, UNICAEN, GIP Cyceron, Caen, France, 4Inserm U1077 Neuropsychologie et Imagerie de la mémoire Humaine, Normandie University, UNICAEN, EPHE, CHU de Caen, Caen, France, 5Inserm UMR-S U1127, Institut du Cerveau et de la Moelle épinière (ICM), Sorbonne Université, Paris, France, 6Département de génétique, Groupe Hospitalier Pitié-Salpêtrière, APHP, Paris, France, 7Inserm U1216, Grenoble Institut des Neurosciences (GIN), Univ. Grenoble Alpes, Grenoble, France

Huntington’s disease (HD) is an inherited neurodegenerative disease characterized by cognitive, motor and psychiatric symptoms. Despite tremendous efforts made during past years, there is a need for more predictive and functional biomarkers of disease pathogenesis and progression. In the present study, we developed a longitudinal and multimodal imaging protocol to elucidate HD pathogenesis in a mouse model of HD and to evaluate the potential of different biomarkers. Our approach combining volume, gluCEST and magnetization transfer imaging and automated brain segmentation revealed a brain network particularly vulnerable in this model.

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