Fatigue Interacts with Amyloid Status To Predict Daily Working Memory Performance in Preclinical Alzheimer’s Disease
Alyssa N. De Vito, Zachary J. Kunicki, Sheina Emrani, Jennifer Strenger, Karra D Harrington, Nelson A Roque, Martin J. Sliwinski, Stephen Salloway, Stephen Correia, Louisa I Thompson- Psychiatry and Mental health
- Cellular and Molecular Neuroscience
- Geriatrics and Gerontology
- Neurology (clinical)
- Developmental Neuroscience
- Health Policy
- Epidemiology
Abstract
Background
Smartphone‐based cognitive assessment has the potential to reduce barriers to cognitive screening and increase sensitivity to detect preclinical Alzheimer’s disease (AD). Ecological momentary assessment of cognition is novel, and it is not yet well understood how psychological factors (i.e., mood, stress, and fatigue) may impact cognitive performance in remote, real‐world settings. We aimed to evaluate whether psychological factors influence daily cognitive performance differently between older adults with and without AD‐related pathologic change.
Method
Participants (N = 73) were cognitively unimpaired adults aged 60‐80 years (71% female, 89% White, 16.5 mean years of education) recruited for a digital cognitive assessment study. Participants had amyloid (Aβ) PET imaging results available from prior research participation [(n = 25 Aβ positive (Aβ+) and n = 48 Aβ negative (Aβ‐)]. A modified Telephone Interview for Cognitive Status (TICSm) score of ≥34 was used to indicate normal cognition. Participants completed 8 consecutive days of cognitive assessment using Mobile Monitoring of Cognitive Change (M2C2), a smartphone‐based testing platform developed as part of the National Institute of Aging’s Mobile Toolbox. Brief (i.e., 3‐4 minute) M2C2 sessions were assigned three times daily (morning, afternoon, and evening). Tasks included measures of visual working memory (WM, “Color shapes”), processing speed (PS, “Symbol search”), and episodic memory (EM, “Prices”). Multilevel modeling was used to examine the impact of self‐reported mood, stress, fatigue, and Aβ status on daily cognitive performance while controlling for age, sex, education, and time of day.
Result
Daily fatigue was found to interact with amyloid status such that Aβ+ individuals performed worse on the WM task when experiencing higher levels of fatigue (Est. = .004, p = .01) Higher levels of daily stress were associated with poorer performance on the PS task (Est. = ‐.0005, p = .03) but no interaction with Aβ status was observed. There were no significant relationships between mood and cognitive performance.
Conclusion
We demonstrated that psychological factors including fatigue and stress may impact performance on remote cognitive assessments. Results also suggested that fatigue may impact daily cognitive performance more among those with AD pathological change. These preliminary results suggest that psychological factors should be considered when determining optimal windows for remote cognitive screening.