Within-session Learning of an Object Identification Task Predicts Elevated Brain Aβ

Within-session Learning of an Object Identification Task Predicts Elevated Brain Aβ

In further analysis from a multi-year study of 81 adults conducted by the Kentucky Neuroscience Institute, the CANS-MCI has been as shown to be predictively sensitive to heightened CSF levels of Aβ and tau.

CSF was collected from participants near to the time of completing the baseline Computer- Administered Neuropsychological Screen for MCI (CANS). CSF levels of Aβ (threshold = 250pg/ml) were used to group participants as elevated (Aβ+) and not elevated (Aβ-) brain amyloid. A linear mixed model (LMM) with object identification response time at each (correct) trial as the dependent variable and age, sex, education, depression, and trial as independent variables, a random slope of trial for participants. Slope for each participant was extracted and used to predict brain amyloid status and mean response time on the same task 6 months later (logistic regressions).

Results: Of 96 participants, 57 were Aβ- and 39 were Aβ+. The groups did not differ statistically in sex, education, depression, or prior CANS administrations, ps > 0.33. The Aβ+ group (76.6y) was slightly older than Aβ- (73.9y), p =0.05. The LMM indicated age (β = 0.02, p < 0.001) and depression (β = 0.03, p = 0.04) significantly slowed response time, and response time was significantly faster with successive trials (β = -0.04, p < 0.001). Age (β = -0.06, p = 0.06) and participant slopes for trial (β = -75.16, p = 0.01) correctly classified 36 Aβ- (63.2%) and 28 Aβ+ (71.8%) participants. For the Aβ+ group, follow-up response times varied little by slope, whereas Aβ- participants with steeper slopes had faster times at follow-up.

Conclusion: Aβ+participants exhibited significantly steeper learning slopes than Aβ-. This may reflect slight retrieval delays early in the task and subsequent hyperactivation. Learning slopes at baseline also predicted improved performance at follow-up, in line with existing research on within-session practice effects. Implications and future directions discussed.


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Within-session Learning of an Object Identification Task Predicts Elevated Brain Aβ and Future Task Performance

Founder of Screen Inc., Dr. Hill has a PhD in Clinical Psychology, State University of New York at Buffalo. Later he completed an Informatics Fellowship (post-PhD) at the VA where he studied interface design, multimedia programming, user resistance, evaluation of adaptations to new medical record systems, and the implementation of automated medical records. A trained psychologist and psychometric specialist, Emory was in private practice for nearly 20 years. Before that, he served as an Assistant Professor of Psychology at SUNY, Brockport, NY.