Subclinical XXXX inversely associates with learning ability: The NOMAS.

@entity1 @entity4798 @entity64 @entity66 @entity6249 @entity73 @entity4207 @entity62 @entity12540
OBJECTIVE: Memory has been examined in subjects with imaging markers of @entity66 , but learning has been less well studied. We examined the relationship among subclinical @entity66 , cerebral volumes, and verbal learning in an ethnically and racially diverse community sample. METHODS: A clinically @entity64 -free subset of Northern Manhattan Study @entity1 underwent cognitive testing and brain MRI with quantification of white matter hyperintensity volume (WMHV) and total cerebral volume ( @entity12540 ) using semiautomated segmentation. We used generalized linear regression and mixed models to examine the association between imaging findings and verbal learning. RESULTS: There were 1,272 @entity1 (61% @entity1 , mean age 70    9 years). @entity1 with greater WMHV and smaller @entity12540 remembered fewer total words on a list-learning task (b = -0.83 per SD change in WMHV, 95% confidence interval [CI] = -1.22 to -0.45, p < 0.0001; and b = 0.48 per SD change in @entity12540 , 95% CI = 0.05 to 0.90, p = 0.03, respectively). Subclinical @entity4798 (SBI) was not associated with total words learned (b = -0.04, 95% CI = -1.08 to 1.00, p = 0.94). Those with greater WMHV had increased odds of a flatter @entity4207 . After excluding @entity1 with SBI, the association between total words learned and WMHV remained significant. All measurements were adjusted for age, education, race/ethnicity, medical insurance status, and the presence of SBI. CONCLUSIONS: @entity62 , a marker of @entity6249 , may have an impact on @entity4207 . This suggests that verbal learning performance can be incorporated into neuropsychological measures for vascular @entity73 and that @entity66 discovered on imaging affects the ability to learn new information.
