Abstract #3725

Tract based spatial statistics analysis of DKI metrics in type 2 diabetes patients

Zaheer Abbas^1,2, Ezequiel Farrher¹, Elene Iordanishvili¹, Nino Kobalia¹, Krzysztof Dzieciol¹, Farida Grinberg^1,2, and Nadim Jon Shah^1,2,3,4,5

¹Institute of Neuroscience and Medicine – 4, Medical Imaging Physics, Forschungszentrum Jülich GmbH, Jülich, Germany, ²Department of Neurology, Faculty of Medicine, Aachen, Germany, ³Translational Medicine, RWTH Aachen University, JARA – BRAIN, Aachen, Germany, ⁴Forschungszentrum Jülich GmbH, Institute of Neuroscience and Medicine – 11, Jülich, Germany, ⁵Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia

In addition to cardiovascular risk factors, Type 2 diabetes mellitus (T2DM) is associated with microstructural, structural, functional, and metabolic changes in the brain. Patients with T2DM tend to develop cognitive impairment and dementia. In this study, we report differences between groups of T2DM patients and age-matched healthy volunteers by comparing diffusion tensor and diffusion kurtosis metrics using the tract-based spatial statistics (TBSS) method. We found that all diffusivities are larger and the axonal water fraction is reduced in the T2DM group compared to the controls. This suggests presence of more water in the extra-axonal space.

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

Join Here