Type 2 diabetes is a metabolic disorder associated with subtle microstructural alteration of brain white matter. Diffusion tensor imaging (DTI) has been widely applied to evaluate white matter microstructural pathology in type 2 diabetes; however, DTI has limitations and lacks specificity. Using UK Biobank data, we applied neurite orientation dispersion and density imaging (NODDI) as an alternative advanced diffusion method to overcome DTI limitations. In this study, NODDI showed its potential role in giving a better biophysical characterisation of white matter neuroaxonal pathology in type 2 diabetes compared to DTI.
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