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Diffusion magnetic resonance imaging tractography is becoming increasingly popular in a variety of medical research fields. In the past two decades, tractography has become an incredible tool to investigate the structural connectivity of the brain. However, the number of processing steps and modeling complexity is sometimes more problematic than one could expect. While processing and analysis is difficult even in a healthy brain, pathological datasets come with a slew of potential problems that must be acknowledged before processing is started. This presentation will cover the basics of tractography, its current challenges and limitations (especially in pathological datasets) and potential solutions. The goal is to inform ‘users’ of the limitations and to focus on what they can do and promote good interpretations of their results. A presentation by François Rheault, Ph.D. SCIL Francois Rheault recently graduated from a Ph.D. at the Sherbrooke Connectivity Imaging Lab (SCIL) in neuroimaging. He has a bachelor degree in computer science applied to imaging (image/video processing & mathematics). During his graduate studies he participated in 5 collaborations of a few months (2-4) in other, more applied, laboratories where he helped to develop specialized tractography tools for clinicians. His work helped various collaborators on projects related to Alzheimer's, multiple sclerosis, strokes, brain tumor, epilepsy and more. Recent publications by François Rheault: https://www.sciencedirect.com/science... https://iopscience.iop.org/article/10... https://onlinelibrary.wiley.com/doi/f...