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[P1–471]: EFFECT OF ALZHEIMER's DISEASE ON SPATIAL PATTERN SEPARATION
Author(s) -
Laczó Jan,
Parizkova Martina,
Markova Hana,
Andel Ross,
Vyhnalek Martin,
Hort Jakub
Publication year - 2017
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.2017.06.487
Subject(s) - separation (statistics) , dementia , episodic memory , psychology , alzheimer's disease , hippocampal formation , biomarker , audiology , hippocampus , neuropsychology , dentate gyrus , spatial memory , cognition , common spatial pattern , neuroscience , disease , medicine , pathology , working memory , chemistry , mathematics , statistics , biochemistry
investigated the use of the NIH-Toolbox-Cognition computerized neuropsychological battery in the identification of amnestic MCI (aMCI) compared to healthy older adults in a sample of AfricanAmerican and Caucasian seniors. Methods: Ninety-three African American and 75white older adults were recruited from the University of Michigan Alzheimer’s Disease Center (MADC) and the Wayne State University Institute of Gerontology’s Healthy Black Elders Center (WSU-HBEC). All were enrolled in the longitudinal cohort of theMADC and underwent complete NACCUniformData Set (UDS) assessment, being diagnosed via consensus conference as aMCI (n 1⁄4 47, 72.54 6 7.4 years) or cognitively healthy older adults (n 1⁄4 121, 70.59 6 7.4 years). Computerized tests were not used for consensus. All Toolbox subscales were evaluated through Diagnosis by Race ANOVAs, adjusted for age and education, using each of the Toolbox available scores (unadjusted, age-adjusted, percentile, fully-adjusted). After evaluation of those results, ROC Area under curve (AUC) analyses were conducted to determine discriminatory ability of each Toolbox composite and subtest measure. Results:ANOVAs revealed a number of significant main effects and interactions across both Fluid and Crystalized Toolbox measures when using all but the fully-adjusted scores, so those scores were used for AUC analyses. Total (0.846) and Fluid Composites (0.815) had the highest or “good classification” AUC values, with five other subtests (Pattern Comparison, Picture Sequence Memory, Crystalized Composite, Picture Vocabulary, Dimensional Card Sort) between 0.75-0.720 (“fair”). The fullyadjusted subtests with significant race main effects or interactions (Oral Reading, List Sort, Flanker) had AUC values below 0.70. Conclusions: Fully-adjusted Toolbox-Cognitive scores appear least sensitive to race effects. In terms of discriminating aMCI cases from controls, the Total and Fluid Composites appeared strongest.