The Mobile Toolbox for remote, self-administered cognitive assessment in older adults: associations with in-clinic cognitive testing and Alzheimer's disease biomarkers.
Roos J Jutten, Jessa E Burling, Elliott Slade, Jackson C Thompson, Jessie Fanglu Fu, Colin Birkenbihl, Michael J Properzi, Gad A Marshall, Rebecca E Amariglio, Kathryn V Papp, Keith A Johnson, Julie C Price, Reisa A Sperling, Dorene M Rentz
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引用次数: 0
Abstract
Introduction: Remote, smartphone-based cognitive assessments such as the Mobile Toolbox (MTB) may increase the accessibility of Alzheimer's disease (AD) clinical trials. We examined the feasibility of the MTB among cognitively unimpaired (CU) older adults and investigated its associations with standardized in-clinic cognitive testing and amyloid and tau positron emission tomography imaging.
Methods: A total of 100 CU older adults self-administered the MTB remotely on their personal devices. Linear regression models correcting for demographics investigated associations of MTB fluid and crystallized cognition composites with in-clinic Preclinical Alzheimer's Cognitive Composite-5 (PACC-5) scores, global amyloid-beta burden and tau deposition in the medial-temporal lobe and neocortex.
Results: Most participants completed the MTB without requiring assistance (81%) or reminders (61%). MTB fluid cognition scores were positively associated with PACC-5 scores and negatively with tau deposition in the medial-temporal lobe and neocortex.
Discussion: These findings suggest that the MTB may provide a feasible approach to capture cognitive processes relevant in preclinical AD.
Highlights: The Mobile Toolbox (MTB) is a remote smartphone-based cognitive assessment.We deployed the MTB in CU older adults with Alzheimer's disease (AD) biomarkers.We show how the MTB may facilitate cognitive assessment in preclinical AD research.
期刊介绍：
Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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