OBJECTIVE: To identify the clinical and structural MRI markers for predicting @entity73 ( @entity73 ) in @entity1 with @entity1652 ( @entity1652 ). METHODS: Fifty-four @entity1 with @entity1652 and 27 healthy controls underwent extensive neuropsychological testing and multimodal 3.0T MRI. The @entity1 group was classified as @entity73 or cognitively preserved (CP), using a criterion of  <=1.5 SD on at least 2 cognitive domains. MRI measurements included white matter (WM) lesion volume, @entity62 ( @entity62 ), WM, and deep @entity62 (DGM) volume, cortical thickness, and the severity and extent of WM tract diffusion metric alterations based on fractional anisotropy and mean, axial, and radial diffusivity. Groups were compared using a multivariate general linear model, and clinical and MRI measurements were related to average cognition z scores by partial correlations and a stepwise linear regression model. RESULTS: Twenty-six @entity1 with @entity1652 (48.2%) were classified as @entity73 and showed WM tract diffusion abnormalities, particularly increased radial diffusivity, and @entity62 especially DGM @entity194 compared with healthy controls. @entity1 classified as CP also showed alterations of WM tract diffusion but without significant @entity194 . Compared with the CP group, @entity1 with @entity73 demonstrated a lower level of education and decreased hippocampal volume. In the whole @entity1 group, average cognition z scores were best predicted by the level of education and hippocampal volume (R(2) = 0.46, p < 0.001). CONCLUSION: In @entity1 with @entity1652 , WM tract integrity disruption was identified in both CP and @entity73 groups. @entity194 , particularly in the DGM, was only found in the @entity73 group. Hippocampal volume is the main MRI predictor of cognition in @entity1652 .

Structural MRI substrates of XXXX in @entity1652 .

@entity1 :: ('9606', 'Species') :: ['Patients', 'patients', 'patient'] @entity1652 :: ('MESH:D009471', 'Disease') :: ['NMO', 'neuromyelitis optica'] @entity73 :: ('MESH:D003072', 'Disease') :: ['cognitive impairment', 'CI'] @entity194 :: ('MESH:D001284', 'Disease') :: ['atrophy', 'GM atrophy'] @entity62 :: ('MESH:D056784', 'Disease') :: ['gray matter', 'GM']
@entity73 :: (MESH:D003072,Disease) :: ['cognitive impairment']
