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IC‐P‐090: COMPARISON OF ALZHEIMER'S DISEASE BIOMARKER MEASURES AS PREDICTORS OF COGNITION
Author(s) -
Dincer Aylin,
Gordon Brian A.,
Vlassenko Andrei G.,
Goyal Manu S.,
Aschenbrenner Andrew J.,
McCullough Austin A.,
Adedokun Adedamola,
Marple Laura M.,
Flores Shaney,
Keefe Sarah,
Chen Gengsheng,
Hornbeck Russ C.,
Morris John C.,
Benzinger Tammie L.S.
Publication year - 2019
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2019.06.4933
Subject(s) - biomarker , cognition , neuroimaging , neuropsychology , psychology , atrophy , disease , neuroscience , pathology , medicine , biology , biochemistry
including interactions with time. Results: After controlling for covariates, change in HV and baseline HV x Time were significantly related to change in cognition (p<0.05, p<0.001, respectively). Similarly, EC thinning and baseline EC x Time were significantly related to change in cognition (p<0.05, p<0.001, respectively). Finally, PHC thinning, but not baseline PHC x Time, was significantly related to cognitive change over time (p <0.05). In all three models, there was a significant interaction of baseline PiB with longitudinal change in the structural measure of interest (ps <0.005). Conclusions: Baseline HV x Time, baseline EC x Time, and longitudinal measures of HV, EC, and PHC were significantly related to cognitive change over time. Additionally, there were significant interactions between all longitudinal structural measures and baseline PiB. These findings suggest that longitudinal change in structural measures is associated with longitudinal change in cognition over time, and that baseline levels of amyloid burden have a significant effect on this relationship.