ArticleNeuropsychology2023
Measurement precision across cognitive domains in the Alzheimer's Disease Neuroimaging Initiative (ADNI) data set.
Article in Neuropsychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Cognitive factor structure of the NACC UDS-3 neuropsychological battery across ethno-racial, linguistic, and cognitive status groups.The Clinical neuropsychologist · 2026Article
- Development and validation of a harmonized memory score for multicenter Alzheimer's disease and related dementia research.Alzheimer's research & therapy · 2026Article
- Substituting blood-based biomarkers for imaging measures in Alzheimer's disease studies: implications for sample size and bias.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross-Platform Validation.Annals of clinical and translational neurology · 2026Article
- Measurement Error and Methodologic Issues in Analyses of the Proportion of Variance Explained in Cognition.Neuropsychology review · 2025Review
- Substituting Blood-Based Biomarkers for Imaging Measures in Alzheimer's Disease Studies: Implications for Sample Size and Bias.medRxiv : the preprint server for health sciences · 2025Article
- A Data-driven Age-related Macular Degeneration Severity Scoring System Leveraging the AREDS Studies and Clinical Electronic Medical Records.Ophthalmology · 2025Observational
- Beyond NACC's Uniform Data Set for cognition: the impact of additional items on measurement precision.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Resilience Through Social Connectedness and Cognition: Is Theory of Mind a Form of Enrichment for Older adults?The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Development of a machine learning algorithm to predict the residual cognitive reserve index.Brain communications · 2024Article
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23 authors.
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Abstract
objectiveTo demonstrate measurement precision of cognitive domains in the Alzheimer's Disease Neuroimaging Initiative (ADNI) data set.
methodParticipants with normal cognition (NC), mild cognitive impairment (MCI), and Alzheimer's disease (AD) were included from all ADNI waves. We used data from each person's last study visit to calibrate scores for memory, executive function, language, and visuospatial functioning. We extracted item information functions for each domain and used these to calculate standard errors of measurement. We derived scores for each domain for each diagnostic group and plotted standard errors of measurement for the observed range of scores.
resultsAcross all waves, there were 961 people with NC, 825 people with MCI, and 694 people with AD at their most recent study visit (data pulled February 25, 2019). Across ADNI's battery there were 34 memory items, 18 executive function items, 20 language items, and seven visuospatial items. Scores for each domain were highest on average for people with NC, intermediate for people with MCI, and lowest for people with AD, with most scores across all groups in the range of -1 to +1. Standard error of measurement in the range from -1 to +1 was highest for memory, intermediate for language and executive functioning, and lowest for visuospatial.
conclusionModern psychometric approaches provide tools to help understand measurement precision of the scales used in studies. In ADNI, there are important differences in measurement precision across cognitive domains. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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