Meeting Banner
Abstract #0352

Using Surface Connectivity Atlases to Measure Striato-Cortical "Disconnection Rate" in Huntington Disease

Linda Marrakchi-Kacem1,2, Christine Delmaire3, Alan Tucholka4,5, Pauline Roca1,2, Pamela Guevara1,2, Sophie Lecomte1,2, Fabrice Poupon1,2, Jerome Yelnik6, Alexandra Durr6, Jean-Franois Mangin1,2, Stephane Lehericy 2,3, Cyril Poupon1,2

1NeuroSpin, CEA, Gif-Sur-Yvette, France; 2IFR49, Gif-Sur-Yvette, France; 3CENIR, Piti Salptrire Hospital, Paris, France; 4Centre de Recherche Hpital Ste-Justine, Montreal, Canada; 5Universit de Montral, Montreal, Canada; 6CRICM, Inserm/UPMC, Paris, France

In this study, we use average surface striato-cortical connectivity atlases to compare the connectivity of subjects suffering from the Huntington's disease and healthy subjects. We define a disconnection rate measure for Huntington patients, for each nucleus and each cortical region of interest, using healthy subjects as a reference. These measures computed for each nucleus of the striatum and each gyrus allowed the quantification of the decrease in striato-cortical connections for Huntington subjects compared to healthy subjects. These disconnection rates constitue novel connectivity Biomarkers of Huntington's disease.