Abstract #0913

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

Jean-Baptiste Perot^1,2, Clement M. Garin^1,2, Salma Bougacha^1,2,3,4, Alexandra Durr^5,6, Marc Dhenain^1,2, Sandrine Humbert⁷, Emmanuel Brouillet^1,2, and Julien Flament^1,2

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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