Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap.

The annualized change in the EDSS score correlated with annualized changes in both BAG ( r = 0.48, 95% CI 0.36–0.58, p < 0.001) and DD gap ( r = 0.50, 95% CI 0.39–0.60, p < 0.001) ( Figure 6, C and D and eTable 6), whereas the correlation between annualized changes in EDSS scores and MS-age gap did not reach statistical significance ( r = 0.11, 95% CI −0.03 to 0.25, p = 0.12) (eFigure 11 and eTable 7).

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