A diffusion MRI tractometry approach in cerebral small vessel disease
Maxime Chamberland1, Anil M Tuladhar2, Anna Dewenter3, Mengfei Cai2, Mina A Jacob2, Annemieke ter Telgte2,4, Kim Wiegertjes2, Marcel Zwiers1, José P. Marques1, Chantal M.W. Tax5,6, Marco Duering3,7, 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
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.
This abstract and the presentation materials are available to members only;
a login is required.