ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling.
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 18 papers.
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Who cites it
18 citing papers in PubMed.
- Heterogeneous structural brain signatures of methamphetamine and ketamine use disorders revealed by normative modeling.Molecular psychiatry · 2026Article
- Mapping heterogeneous brain structural subtypes in alzheimer's disease and mild cognitive impairment using normative models.Translational psychiatry · 2026Article
- Spatially and temporally progressive hypoperfusion in Alzheimer's disease revealed by normative modeling.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- The influence of sample size and covariate distributions on neuroanatomical normative modeling.eLife · 2026Article
- Predicting developmental norms from baseline cortical thickness in longitudinal studies.Biology of sex differences · 2026Article
- Charting brain morphology in international healthy and neurological populations.Nature neuroscience · 2026Article
- The average does not represent the individual: White matter variability across the brain, across the population, and across the lifespan.Research square · 2026Article
- Brain Age as a Biomarker in Alzheimer's Disease: Narrative Perspectives on Imaging, Biomarkers, Machine Learning, and Intervention Potential.Brain sciences · 2025Review
- Structural similarity networks reveal brain vulnerability in dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Neuroanatomical normative modelling in frontotemporal lobar degeneration: higher heterogeneity in the behavioural variant.Journal of neurology · 2025Article
- Towards precision MRI biomarkers in epilepsy with normative modelling.Brain : a journal of neurology · 2025Review
- Heterogeneity of morphometric similarity networks in health and schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- Smooth Normative Brain Mapping of Three-Dimensional Morphometry Imaging Data Using Skew-Normal Regression.Human brain mapping · 2025Article
- Article
- Age-Related Changes in Caudate Glucose Metabolism: Insights from Normative Modeling Study in Healthy Subjects.Metabolites · 2025Article
- Advancements in deep learning for early diagnosis of Alzheimer's disease using multimodal neuroimaging: challenges and future directions.Frontiers in neuroinformatics · 2025Review
- Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Individualized cholinergic pathway degeneration in Alzheimer's disease characterized by normative modeling.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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10 authors.
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Abstract
introductionNeuroanatomical normative modeling captures individual variability in Alzheimer's disease (AD). Here we used normative modeling to track individuals' disease progression in people with mild cognitive impairment (MCI) and patients with AD.
methodsCortical and subcortical normative models were generated using healthy controls (n ≈ 58k). These models were used to calculate regional z scores in 3233 T1-weighted magnetic resonance imaging time-series scans from 1181 participants. Regions with z scores < -1.96 were classified as outliers mapped on the brain and summarized by total outlier count (tOC).
resultstOC increased in AD and in people with MCI who converted to AD and also correlated with multiple non-imaging markers. Moreover, a higher annual rate of change in tOC increased the risk of progression from MCI to AD. Brain outlier maps identified the hippocampus as having the highest rate of change. DISCUSSION: Individual patients' atrophy rates can be tracked by using regional outlier maps and tOC. HIGHLIGHTS: Neuroanatomical normative modeling was applied to serial Alzheimer's disease (AD) magnetic resonance imaging (MRI) data for the first time. Deviation from the norm (outliers) of cortical thickness or brain volume was computed in 3233 scans. The number of brain-structure outliers increased over time in people with AD. Patterns of change in outliers varied markedly between individual patients with AD. People with mild cognitive impairment whose outliers increased over time had a higher risk of progression from AD.
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