ArticleJournal of Alzheimer's disease : JAD2021
Identifying Preclinical Alzheimer's Disease Using Everyday Driving Behavior: Proof of Concept.
Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Driving among individuals with chronic conditions: A systematic review of applied research using kinematic driving sensors.Journal of the American Geriatrics Society · 2024Pooled it
- White Matter Hyperintensity Burden and Decline in Driving Performance Among Older Adults.JAMA network open · 2026Article
- A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia.Scientific data · 2025Article
- Integrating Machine Learning and Environmental and Genetic Risk Factors for the Early Detection of Preclinical Alzheimer's Disease.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Updates and future perspectives on neuropsychiatric symptoms in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Identifying major depressive disorder in older adults through naturalistic driving behaviors and machine learning.NPJ digital medicine · 2025Article
- Characterizing Navigational Changes in Preclinical Alzheimer's Disease: A Route Complexity Metric Derived From Naturalistic Driving Data.IEEE journal of translational engineering in health and medicine · 2025Article
- Major Depressive Disorder and Driving Behavior Among Older Adults.JAMA network open · 2024Article
- Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024Review
- Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research.Journal of the American Heart Association · 2024Review
- Article
- Cortical atrophy and leukoaraiosis, imaging markers of cerebrovascular small vessel disease, are associated with driving behavior changes among cognitively normal older adults.Journal of the neurological sciences · 2023Article
- Everyday Driving and Plasma Biomarkers in Alzheimer's Disease: Leveraging Artificial Intelligence to Expand Our Diagnostic Toolkit.Journal of Alzheimer's disease : JAD · 2023Article
- Lower extremities task of pressing an "accelerator" or a "brake": association with traffic accidents in older drivers - a preliminary study.Dementia & neuropsychologia · 2022Article
- Driving assessment in preclinical Alzheimer's disease: progress to date and the path forward.Alzheimer's research & therapy · 2022Review
- Improving Our Understanding of Driving Changes in Preclinical and Early Symptomatic Alzheimer's Disease: The Role of Naturalistic Driving Studies.Journal of Alzheimer's disease reports · 2022Review
- GPS driving: a digital biomarker for preclinical Alzheimer disease.Alzheimer's research & therapy · 2021Article
- Using Naturalistic Driving Data to Predict Mild Cognitive Impairment and Dementia: Preliminary Findings from the Longitudinal Research on Aging Drivers (LongROAD) Study.Geriatrics (Basel, Switzerland) · 2021Article
- News about the Role of Fluid and Imaging Biomarkers in Neurodegenerative Diseases.Biomedicines · 2021Review
- Driving into diagnosis: Leveraging high-resolution telematics and sensorimotor profiling to identify preclinical Alzheimer's disease.Journal of Alzheimer's disease reportsArticle
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
We examined whether driving behavior can predict preclinical Alzheimer's disease (AD). Data from 131 cognitively normal older adults with cerebrospinal fluid (CSF) and/or positron emission tomography (PET) biomarkers were examined with naturalistic driving behavior. Receiver operating characteristic curves were used to predict the highest 10%, 25%, and 50% of values for CSF tau/Aβ42, ptau181/Aβ42, or amyloid PET. Six in vivo driving variables alone yielded area under the curves (AUC) from 0.64-0.82. Addition of age, Apolipoprotein ɛ4, and neuropsychological measures to the models improved the AUC (0.81 to 0.90). Driving can be used as novel neurobehavioral marker to identify presence of preclinical AD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.