ArticleBrain imaging and behavior2020
Detecting biological heterogeneity patterns in ADNI amnestic mild cognitive impairment based on volumetric MRI.
Article in Brain imaging and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 34 citations in OpenAlex.
- Decoupling MCI-specific signatures from shared neurobiological substrates of cognitive aging via deep learning.NPJ digital medicine · 2026Article
- Mapping heterogeneous brain structural subtypes in alzheimer's disease and mild cognitive impairment using normative models.Translational psychiatry · 2026Article
- Predicting the progression of MCI and Alzheimer's disease on structural brain integrity and other features with machine learning.GeroScience · 2026Article
- Differential MRI atrophy profiles and incident dementia: A cross-national comparison.Journal of Alzheimer's disease : JAD · 2025Article
- Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network.Alzheimer's research & therapy · 2025Article
- Cognitively defined Alzheimer's dementia subgroups have distinct atrophy patterns.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Stratified support pattern-based internet-assisted self-management therapy for diabetes mellitus -mild cognitive impairment: a randomized controlled trial protocol.BMC endocrine disorders · 2023Article
- NORHA: A NORmal Hippocampal Asymmetry Deviation Index Based on One-Class Novelty Detection and 3D Shape Features.Brain topography · 2023Article
- Functional activity level reported by an informant is an early predictor of Alzheimer's disease.BMC geriatrics · 2023Article
- Sex-Specific Heterogeneity of Mild Cognitive Impairment Identified Based on Multi-Modal Data Analysis.Journal of Alzheimer's disease : JAD · 2023Article
- Application of predictive models in boosting power of Alzheimer's disease clinical trials: A post hoc analysis of phase 3 solanezumab trials.Alzheimer's & dementia (New York, N. Y.) · 2022Article
- Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes.Medical image analysis · 2022Article
- Frontal-executive and corticolimbic structural brain circuitry in older people with remitted depression, mild cognitive impairment, Alzheimer's dementia, and normal cognition.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2020Article
- Disentangling Heterogeneity in Alzheimer's Disease and Related Dementias Using Data-Driven Methods.Biological psychiatry · 2020Review
- Machine Learning Predictive Models Can Improve Efficacy of Clinical Trials for Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2020Article
- Predicting Amyloid-β Levels in Amnestic Mild Cognitive Impairment Using Machine Learning Techniques.Journal of Alzheimer's disease : JAD · 2020Article
- Discovering subtypes with imaging signatures in the Motoric Cognitive Risk Syndrome Consortium using weakly supervised clustering.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
There is substantial biological heterogeneity among older adults with amnestic mild cognitive impairment (aMCI). We hypothesized that this heterogeneity can be detected solely based on volumetric MRI measures, which potentially have clinical implications and can improve our ability to predict clinical outcomes. We used latent class analysis (LCA) to identify subgroups among persons with aMCI (n = 696) enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI), based on baseline volumetric MRI measures. We used volumetric measures of 10 different brain regions. The subgroups were validated with respect to demographics, cognitive performance, and other AD biomarkers. The subgroups were compared with each other and with normal and Alzheimer's disease (AD) groups with respect to baseline cognitive function and longitudinal rate of conversion. Four aMCI subgroups emerged with distinct MRI patterns: The first subgroup (n = 404), most similar to normal controls in volumetric characteristics and cognitive function, had the lowest incidence of AD. The second subgroup (n = 230) had the most similar MRI profile to early AD, along with poor performance in memory and executive function domains. The third subgroup (n = 36) had the highest global atrophy, very small hippocampus and worst overall cognitive performance. The fourth subgroup (n = 26) had the least amount of atrophy, however still had poor cognitive function specifically in in the executive function domain. Individuals with aMCI who were clinically categorized within one group other showed substantial heterogeneity based on MRI volumetric measures.
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Registered trials
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