Recently, there has been strong interest in the development of imaging techniques to quantify axonal and myelin pathology in @entity1 with @entity15 ( @entity15 ). @entity7995 , a condition characterised by inflammatory demyelination of the optic nerve, is one of the commonest sites of @entity15 relapse, and exhibits similar pathological alterations to @entity15 lesions elsewhere in the central nervous system (CNS). Unlike other regions of the CNS, however, the function of the optic nerve can be accurately assessed using clinical measures, as well as electrophysiological techniques such as visual evoked potential recordings. Therefore, @entity7995 is useful for investigating the relationship between abnormalities in optic nerve structure, assessed using magnetic resonance imaging (MRI), and @entity227 , assessed clinically and electrophysiologically. The aims of the present study were to assess optic nerve @entity2526 in @entity1 with a history of unilateral @entity7995 using MRI, and then to identify correlations between @entity66 . Ten controls and sixteen @entity1 underwent high resolution optic nerve diffusion tensor imaging (DTI), T2- and T1-weighted MRI. In addition, Snellen visual acuity and the latency and amplitude of multifocal visual evoked potentials (mfVEP) were tested in all @entity1 . Diffusion and volumetric MRI indices were correlated to mfVEP functional indices. Significant abnormalities were detected in MRI and mfVEP measures in @entity1 ' affected nerves compared to unaffected optic nerves or optic nerves from healthy controls. Reduced mfVEP amplitude in the affected side significantly correlated with both affected @entity1952 (R=0.58, p=0.02) and reduced fractional anisotropy (FA) (R=0.52, p=0.04). However, @entity194 and reduced FA did not correlate with each other. To further investigate this disassociation, we used linear regression analysis with @entity1952 and optic nerve FA as independent variables and mfVEP amplitude as the dependent variable. The resulting linear regression model was highly significant (R=0.819, p=0.001). These results show that, 4 years after unilateral @entity7995 , MRI-based measures of optic nerve @entity2526 (decreased anisotropy and volume) independently predict @entity227 .

Optic nerve diffusion changes and @entity194 jointly predict @entity227 after XXXX .

@entity1 :: ('9606', 'Species') :: ['patients'] @entity227 :: ('MESH:D014786', 'Disease') :: ['visual dysfunction'] @entity1952 :: ('MESH:D009896', 'Disease') :: ['optic nerve atrophy'] @entity66 :: ('MESH:D004194', 'Disease') :: ['abnormalities in optic nerve MRI and visual dysfunction'] @entity7995 :: ('MESH:D009902', 'Disease') :: ['optic neuritis', 'Optic neuritis'] @entity2526 :: ('MESH:D025063', 'Disease') :: ['structural abnormalities'] @entity194 :: ('MESH:D001284', 'Disease') :: ['atrophy'] @entity15 :: ('MESH:D009103', 'Disease') :: ['MS', 'multiple sclerosis']
@entity7995 :: (MESH:D009902,Disease) :: ['optic neuritis']
