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Abstract #2076

"Noise" in diffusion tractography connectomes is not additive

Michael Paquette1, Gabriel Girard1,2,3, Maxime Chamberland1,2,3, and Maxime Descoteaux1,2

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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