ArticleScientific reports2020
The preclinical amyloid sensitive composite to determine subtle cognitive differences in preclinical Alzheimer's disease.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Data‑driven cognitive composites predict Aβ‑related decline and progression to MCI: the ADOPIC study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Computed tomography-based nnU-Net for region-specific brain structural changes across the alzheimer's continuum and frontotemporal dementia subtypes.Scientific reports · 2025Article
- Psychometric Properties and Normative Data Using Item Response Theory Approach for Three Neuropsychological Tests in Waranka Children Population.Healthcare (Basel, Switzerland) · 2025Article
- Rethinking neuropsychological test validity in dementia assessment: a critical review in the age of neuroimaging and digital markers.Frontiers in human neuroscience · 2025Review
- Brain structural indicators of β-amyloid neuropathology.Neurobiology of aging · 2024Article
- Mayo-PACC: A parsimonious preclinical Alzheimer's disease cognitive composite comprised of public-domain measures to facilitate clinical translation.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023Article
- Potential Applications of Artificial Intelligence in Clinical Trials for Alzheimer's Disease.Life (Basel, Switzerland) · 2022Review
- Development of amyloid-negative neuropsychological norms using GAMLSS.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- Amyloid-negative neuropsychological norms: Added value in the era of biomarkers and disease-modifying therapies.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
11 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, the focus of Alzheimer's disease (AD) research has shifted from the clinical stage to the preclinical stage. We, therefore, aimed to develop a cognitive composite score that can detect the subtle cognitive differences between the amyloid positive (Aβ+) and negative (Aβ-) status in cognitively normal (CN) participants. A total of 423 CN participants with Aβ positron emission tomography images were recruited. The multiple-indicators multiple-causes model found the latent mean difference between the Aβ+ and Aβ- groups in the domains of verbal memory, visual memory, and executive functions. The multivariate analysis of covariance (MANCOVA) showed that the Aβ+ group performed worse in tests related to the verbal and visual delayed recall, semantic verbal fluency, and inhibition of cognitive inference within the three cognitive domains. The Preclinical Amyloid Sensitive Composite (PASC) model we developed using the result of MANCOVA and the MMSE presented a good fit with the data. The accuracy of the PASC score when applied with age, sex, education, and APOE ε4 for distinguishing between Aβ+ and Aβ- was adequate (AUC = 0.764; 95% CI = 0.667-0.860) in the external validation set (N = 179). We conclude that the PASC can eventually contribute to facilitating more prevention trials in preclinical AD.
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