ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
Data-driven classification of cognitively normal and mild cognitive impairment subtypes predicts progression in the NACC dataset.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Berry Consumption and Its Role in the Modulation of Obesity and Mild Cognitive Impairment.Nutrients · 2026Pooled it
- MARBLE: An in vivo MRI marker of limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC).Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Cognitive heterogeneity in mild cognitive impairment due to Alzheimer's disease pathology.Neural regeneration research · 2026Article
- Cost-Effectiveness of Donanemab for Early Alzheimer Disease in Australia.The Medical journal of Australia · 2026Article
- Classifying cognitive status with TabCAT Match and UDS executive function tests.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Frontal Assessment Battery: Reliability, validity and discriminative ability in a Spanish sample of amnestic mild cognitive impairment and Alzheimer's disease.Journal of neuropsychology · 2026Article
- Linking sleep apnea and arthritis in the National Alzheimer Coordinating Center Cohort: A cross-sectional analysis.Medicine · 2026Article
- Neuropsychiatric symptom phenotypes for early detection of risk in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Novel multi-task learning for Alzheimer's stage classification using hippocampal MRI segmentation, feature fusion, and nomogram modeling.European journal of medical research · 2025Article
- Reply to "Reconsidering dopaminergic modulation in Alzheimer's disease: A case for levodopa/carbidopa as a disease-modifying agent".Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network.Alzheimer's research & therapy · 2025Article
- Association between the use of levodopa/carbidopa, Alzheimer's disease biomarkers, and cognitive decline among participants in the National Alzheimer's Coordinating Center Uniform Data Set.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Informing etiological heterogeneity of mild cognitive impairment and risk for progression to dementia with plasma p-tau217.The journal of prevention of Alzheimer's disease · 2025Article
- News event memory in amnestic and non-amnestic MCI, heritable risk for dementia, and subjective memory complaints.Neuropsychologia · 2024Article
- Data-driven classification of cognitively normal and mild cognitive impairment subtypes predicts progression in the NACC dataset.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- TMS-derived short afferent inhibition discriminates cognitive status in older adults without dementia.Aging brain · 2024Article
- Data-driven neuropsychological phenotypes in the Baltimore Longitudinal Study of Aging.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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7 authors.
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Abstract
introductionData-driven neuropsychological methods can identify mild cognitive impairment (MCI) subtypes with stronger associations to dementia risk factors than conventional diagnostic methods.
methodsCluster analysis used neuropsychological data from participants without dementia (mean age = 71.6 years) in the National Alzheimer's Coordinating Center (NACC) Uniform Data Set (n = 26,255) and the "normal cognition" subsample (n = 16,005). Survival analyses examined MCI or dementia progression.
resultsFive clusters were identified: "Optimal" cognitively normal (oCN; 13.2%), "Typical" CN (tCN; 28.0%), Amnestic MCI (aMCI; 25.3%), Mixed MCI-Mild (mMCI-Mild; 20.4%), and Mixed MCI-Severe (mMCI-Severe; 13.0%). Progression to dementia differed across clusters (oCN < tCN < aMCI < mMCI-Mild < mMCI-Severe). Cluster analysis identified more MCI cases than consensus diagnosis. In the "normal cognition" subsample, five clusters emerged: High-All Domains (High-All; 16.7%), Low-Attention/Working Memory (Low-WM; 22.1%), Low-Memory (36.3%), Amnestic MCI (16.7%), and Non-amnestic MCI (naMCI; 8.3%), with differing progression rates (High-All < Low-WM = Low-Memory < aMCI < naMCI). DISCUSSION: Our data-driven methods outperformed consensus diagnosis by providing more precise information about progression risk and revealing heterogeneity in cognition and progression risk within the NACC "normal cognition" group.
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