Abstract

AbstractBackgroundIn Alzheimer’s disease (AD), patients and caregivers often report a pattern of increasing cognitive and behavioral difficulties in evening hours, known colloquially as “sundowning.” Here, we describe the first known attempt to capture circadian fluctuations in cognition in humans at risk for AD using a novel smartphone assessment that samples cognition rapidly and repeatedly over a 7‐day period. We hypothesized that cognitive sundowning would manifest among individuals with abnormal AD biomarkers, even in preclinical stages of AD.MethodsOlder adults (N=168, Ages 61‐94 years) were asked to complete 4 brief smartphone‐based testing sessions per day for 7 consecutive days at quasi random intervals throughout the day, from morning until evening. Tests included associate memory, processing speed, and visual working memory tasks (Figure 1). Cerebrospinal fluid biomarkers for beta amyloid (Ab42) and phosphorylated tau181 (ptau) were collected within ∼3 years of smartphone tests. Scores from morning hours (range ∼5am – 12pm) were averaged for comparison with averaged scores from evening hours (after 12pm). Mixed effect models evaluated time of day effects by CSF biomarker status and clinical status.ResultsParticipant characteristics are provided in Table 1. Models with terms for age, gender, education, APOE e4 status, and Clinical Dementia Rating™ Sum of Boxes tested the interaction between time of day and CSF ptau/Ab42 ratio in predicting cognition (Figure 2). Compared to those with normal biomarkers, participants with abnormal CSF ptau/Aβ42 ratio had worse associate memory (p=0.03) and processing speed performance (p=0.026) in evening hours. On processing speed, participants with abnormal ptau/Aβ42 ratios were slower by an average of 700ms in the evening compared to those with normal ptau/Aβ42 ratios tested in morning hours. When models were run in cognitively normal participants only, a similar pattern was observed, confirming the hypothesis that increasing loads of AD pathology result in worse cognitive performance in evening hours prior to symptom onset.ConclusionOur results provide the first known evidence of cognitive sundowning in preclinical and early symptomatic AD and suggest that time of day is an important consideration for studies of cognition in AD populations.

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