Abstract #3380

Toward identifying individual branches of the trigeminal nerve with dMRI-based tractography at 7 Tesla: methodological considerations

Kellen Mulford¹, Christophe Lenglet¹, Pramod Pisharady¹, Sean Moen², Donald R. Nixdorf^3,4, Bharathi D. Jagadeesan^2,5, Andrew W. Grande², and Pierre-Francois Van de Moortele¹

¹Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, ²Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States, ³Department of Diagnostic & Biological Sciences, University of Minnesota, Minneapolis, MN, United States, ⁴Department of Neurology, University of Minnesota, Minneapolis, MN, United States, ⁵Department of Radiology, University of Minnesota, Minneapolis, MN, United States

Trigeminal Neuralgia is a debilitating neuropathic condition affecting the trigeminal nerve. Tractography allows for the possibility of identifying the three branches of the nerve to assist in refining the etiopathology of trigeminal neuralgia. In this study we identify methodological factors that contribute to reliability in identifying the branches of the nerve through an analysis of public HCP data and methodological experiments at 7 Tesla. We conclude that the choice of phase encoding direction can dramatically impact the fidelity of cranial nerve tractography results, and that spatial resolution plays an important role in CN-V branch identification.

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