Alzheimer's disease (AD) causes widespread degeneration and reorganization of white matter connectivity (Ye et al, 2019). Similarly, mild traumatic brain injury (mTBI) results in axonal damage and changes in the connectome (Irimia et al, 2020). Understanding the extent to which the two conditions proceed along similar trajectories can further the use of connectomics as a forecasting tool to identify mTBI victims at high risk for AD. Diffusion weighted images (DWIs) and T1 -weighted magnetic resonance images (MRIs) were acquired from healthy controls (HCs, N = 80, age μ = 76.162; σ = 4.145), AD patients (N = 65, age μ = 77.42; σ = 5.55), and geriatric mTBI patients (N = 32, age μ = 69.58; σ = 5.143). Diffusion tensor imaging (DTI) streamlines were reconstructed in TrackVis; automatic cortical segmentation was performed using FreeSurfer. In each hemisphere, 74 cortical parcels and 7 subcortical structures were identified using the nomenclature of Destrieux et al. (2010). Including the brainstem, this results in 165 brain parcels (Irimia et al. Neuroimage 2012). For all reported results, statistical significance was assessed at p < 0.05 and changes were represented using connectograms (Irimia et al, 2012). In both HCs and mTBI, the mean fractional anisotropy (FA) and connectivity counts of prominent links between the frontal lobe and both the cerebellum and brainstem are significantly higher than in AD patients. Compared to HCs, AD patients have significantly weaker connectivity between frontal and contralateral parietal lobes, and between temporal lobes and insulae. For interhemispheric connections, compared to AD, mTBI subjects exhibit significantly fewer/weaker cortical links but significantly more/stronger subcortical links. AD patients show weaker connectivity than mTBI patients between the subcortex and both temporal and parietal areas. Connections between frontal and occipital areas are significantly weaker in TBI than in AD. Whereas DWI enables measurement of FA, automatic MRI segmentation can complement the examination of connectivity changes between various (sub)cortical regions. By examining how AD and TBI connectomes compare to each other and to HCs, connectome analysis can identify risk indicators for AD in mTBI patients which may not be apparent from volumetric measures.