Abstract #2076

"Noise" in diffusion tractography connectomes is not additive

Michael Paquette¹, Gabriel Girard^1,2,3, Maxime Chamberland^1,2,3, and Maxime Descoteaux^1,2

¹Sherbrooke Connectivity Imaging Lab, Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada, ²Centre de Recherche CHUS, Université de Sherbrooke, Sherbrooke, QC, Canada, ³Sherbrooke Neuro-Analysis Imaging Lab, Department of Nuclear Medicine and Radiobiology, Université de Sherbrooke, Sherbrooke, QC, Canada

With the increasing popularity of diffusion MRI tractography-based connectomes in the literature, a better analysis of their reproducibility is crucial. Studying connectome differences across a test-retest dataset allows us to investigate their variance. In this work we highlight the non-additive nature of tractography based connectome “noise”. This observation holds even when accounting for some of the biggest tractography biases such as seeding density, seeding region, tract volume and fiber length.

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