Longitudinal characterization of white matter degeneration in early stages of AD

Abstract Background White matter (WM) degeneration in older adults is often characterized unimodally by diffusion tensor imaging (DTI), T1w and T2‐FLAIR MRI. However, approaches integrating multimodal MRI information will be necessary for better understanding WM degeneration in early stages of AD. Method This study characterizes the longitudinal changes of WM structure among 66 participants with marked baseline white matter hyperintensity volume (WMHv > 2000 mm 3 ). 42 cognitively normal [CN, 72±7.2y, F = 25] and 24 mild cognitive impairment [MCI, 74±5.7y, F = 14]) adults underwent longitudinal MRI (scan interval: 2.8±0.85 years) within the Wake Forest AD Research Center. DTI metrics were estimated using FMRIB’s Diffusion Toolbox, voxel‐wise volumetric changes of WM (Jacobian Determinant [JD]) were estimated from fractional anisotropy (FA) maps using SPM CAT12, and WMHv were quantified using SPM’s Lesion Segmentation Toolbox. We segmented WM into WMH and normal‐appearing WM (NAWM) to characterize different degeneration patterns by integrating multimodal MRI information. We performed a linear regression analysis of %WMHv change with cognitive status, scan interval, and baseline WMH volume as covariates. Result Decreased FA and increased mean diffusivity (MD) were observed in WMH regions compared with NAWM. Within WMH, interestingly, volume and FA increased, while MD decreased (p <0.001) during the longitudinal follow‐up ( Figs. 1 and 2 ). Baseline WMHv was not significantly associated with cognitive status, but trended toward higher WMHv in MCI compared to CN (p = 0.07). Adjusted for baseline WMHv, cognitive status was associated with WMHv change (p = 0.036, MCI faster than CN, Fig. 3 ). While FA (p = 0.99) and MD (p = 0.16) did not change in the NAWM, volumetric change rate (JD) indicated volumetric contraction (p<0.001, Figs. 4 and 5 ). WMH progresses with time in older adults at risk of AD dementia by occupying neighboring NAWM regions, resulting in relative increases in FA and decreases in MD. Conclusion In NAWM, WM degeneration can be better characterized by volumetric contraction than white matter microstructural integrity. This observation could implicate that secondary or peripheral WM fibers may reveal more vulnerable tracts in early stages of AD. Further investigation incorporating imaging makers of blood perfusion and metabolism could better explain structural mechanisms of WM degeneration.