Clinical Manifestations.

Background: Individuals with preclinical Alzheimer's disease (AD) show reduced practice effects on annually repeated neuropsychological testing, suggesting a decreased ability to learn over repeated exposures. Remote, digital testing enables the assessment of learning over more frequent time intervals, thereby facilitating a more rapid detection of those early learning deficits. We previously showed that multi-day learning on the Boston Remote Assessment for Neurocognitive Health (BRANCH) was indeed diminished in Αβ+ cognitively unimpaired (CU) older adults.

Clinical Manifestations.

Background: Accelerated long-term forgetting (LTF) is characterized by unimpaired retention of information after short-term delays (e.g., 20-30 minutes) with increased forgetting at longer intervals (e.

Early Detection of Amyloid-Related Changes in Memory among Cognitively Unimpaired Older Adults with Daily Digital Testing.

Objective: This study was undertaken to determine whether assessing learning over days reveals Alzheimer disease (AD) biomarker-related declines in memory consolidation that are otherwise undetectable with single time point assessments.

Methods: Thirty-six (21.9%) cognitively unimpaired older adults (aged 60-91 years) were classified with elevated β-amyloid (Aβ+) and 128 (78%) were Aβ- using positron emission tomography with Pittsburgh compound B.

Capturing learning curves with the multiday Boston Remote Assessment of Neurocognitive Health (BRANCH): Feasibility, reliability, and validity.

Objective: Unsupervised remote digital cognitive assessment makes frequent testing feasible and allows for measurement of learning over repeated evaluations on participants' own devices. This provides the opportunity to derive individual multiday learning curve scores over short intervals. Here, we report feasibility, reliability, and validity, of a 7-day cognitive battery from the Boston Remote Assessment for Neurocognitive Health (Multiday BRANCH), an unsupervised web-based assessment.