Linda Marrakchi-Kacem1, 2, Christine Delmaire3, Pamela Guevara2, 4, Fabrice Poupon2, 5, Jrme Yelnik1, 6, Sophie Lecomte2, 5, Pauline Roca2, 5, Alan Tucholka7, Alexandra Durr1, 8, Jean-Franois Mangin2, 5, Marie Chupin1, Stphane Lehricy1, 9, Cyril Poupon2, 5
1UPMC, CRICM, UMR-S975, Inserm, U975, CNRS, UMR 7225, Institut du Cerveau et de la Molle pinire, Paris, France; 2NeuroSpin, CEA, Gif-Sur-Yvette, France; 3Department of Neuroradiology, CHU Lille, Lille, France; 4University of Concepcin, Concepcin, Chile; 5IFR 49, Gif-Sur-Yvette, France; 6Dpartement de Neurologie, Centre dInvestigation Clinique, Groupe Hospitalier Piti-Salptrire, APHP, Paris, France; 7Department of Radiology, CHUM Notre-Dame Hospital, Montreal, Quebec, Canada; 8Department of Genetics, Groupe Hospitalier Piti-Salptrire, APHP, Paris, France; 9Center for Neuroimaging CENIR, Groupe Hospitalier Piti-Salptrire, APHP, Paris, France
In this study, we focused on the connectivity of the basal ganglia inferred from tractography. We proposed a novel method for the selection of the fiber tracts linking two brain structures from a whole brain tractogram obtained using streamline tractography. This method takes into account the basal ganglia circuits and provides only the direct connections between a pair of brain regions of inerest. It allows removing the effect of indirect connections from connectivity based studies. We used surface connectivity atlases as an application to illustrate the impact of this new tract selection approach on the analysis of the connections between the basal ganglia and the cortex.
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