Abstract #1730

A diffusion MRI tractometry approach in cerebral small vessel disease

Maxime Chamberland¹, Anil M Tuladhar², Anna Dewenter³, Mengfei Cai², Mina A Jacob², Annemieke ter Telgte^2,4, Kim Wiegertjes², Marcel Zwiers¹, José P. Marques¹, Chantal M.W. Tax^5,6, Marco Duering^3,7, Frank-Erik de Leeuw², and David G. Norris¹

¹Radboud University, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands, ²Department of Neurology, Radboud University, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, Netherlands, ³University Hospital, LMU Munich, Institute for Stroke and Dementia Research (ISD), Munich, Germany, ⁴VASCage, Research Centre on Vascular Ageing and Stroke, Innsbruck, Austria, ⁵University Medical Center Utrecht, Image Science Institute, Utrecht, Netherlands, ⁶School of Physics, Cardiff University Brain Research Imaging Centre, Cardiff, United Kingdom, ⁷Department of Biomedical Engineering, University of Basel, Medical Image Analysis Center (MIAC) and qbig, Basel, Switzerland

Synopsis

In a cohort of 54 patients with sporadic cerebral small vessel disease, associations between diffusion MRI measures and processing speed were investigated both at low and high b-values, revealing complementary microstructural information. Associations with processing speed found by skeletonization were confirmed with an independent tractometry approach, which was further utilized to identify a set of association tracts associated with cognition.

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