Abstract #1679

Association between structural and functional inter-subject variability of the motor and visual networks

Maxime Chamberland^1,2, Gabriel Girard², Michaël Bernier¹, Michael Paquette², David Fortin³, Maxime Descoteaux², and Kevin Whittingstall^1,4

¹Nuclear Medicine and Radiobiology, Université de Sherbrooke, Sherbrooke, QC, Canada, ²Computer science, Université de Sherbrooke, Sherbrooke, QC, Canada, ³Division of Neurosurgery and Neuro-Oncology, Université de Sherbrooke, Sherbrooke, QC, Canada, ⁴Department of Diagnostic Radiology, Université de Sherbrooke, Sherbrooke, QC, Canada

"Your brain is unique" is an unequivocal sentence that has spanned many research topics in the recent years. For example, functional connectivity (FC) based on resting-state fMRI is highly variable from one subject to the next, yet the source of this variability is unclear. Understanding the source of FC variability is important as it is often used in clinical studies. Here, we explore how this might be explained by variability of white-matter structural connectivity (SC) derived from diffusion MRI tractography connectivity matrices. Our results show that, across multiple brain areas, motor and visual networks show the lowest inter-subject variability. This suggests that, at least in these areas, SC might explain a portion of FC variability.

This abstract and the presentation materials are available to members only; a login is required.

Join Here