ArticleNeurology2023
Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling.
Article in Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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49 citing papers in PubMed, 76 citations in OpenAlex.
- Beyond statistical thresholds: Mapping sequential ATN cascade transitions via brain structural topography in Alzheimer's disease.Science advances · 2026Article
- Heterogeneous structural brain signatures of methamphetamine and ketamine use disorders revealed by normative modeling.Molecular psychiatry · 2026Article
- Latent representations of early brain development: A multivariate normative model of brain structure and behaviour.Developmental cognitive neuroscience · 2026Article
- What Do Persistent Misclassifications Tell Us About Alzheimer's Disease Detection using Structural MRI?medRxiv : the preprint server for health sciences · 2026Article
- Fast surface reconstruction of human brain MRI: benchmarking deep-learning based morphometry tools.Scientific reports · 2026Article
- Prediction of alzheimer's disease time to dementia onset using cross-sectional data from spatiotemporal biomarker progression patterns.European journal of nuclear medicine and molecular imaging · 2026Article
- Normative modeling of MEG brain oscillations across the human lifespan.Communications biology · 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
- Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis.Human brain mapping · 2026Article
- Charting brain morphology in international healthy and neurological populations.Nature neuroscience · 2026Article
- Ultra-fast MRI for brain-age prediction in a real-world cognitive disorders clinic.Frontiers in aging neuroscience · 2026Article
- Spatiotemporal profiling of functional network overlapping modules in Alzheimer's disease.Network neuroscience (Cambridge, Mass.) · 2026Article
- Structural similarity networks reveal brain vulnerability in dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Personalized biomarkers of multiscale functional alterations in temporal lobe epilepsy.Nature communications · 2025Article
- Generalizable MRI normative modelling to detect age-inappropriate neurodegeneration.Alzheimer's research & therapy · 2025Article
- The normative modelling framework for traumatic brain injury.Brain : a journal of neurology · 2025Review
- Understanding individual neurodegenerative progression in Parkinson's disease through normative modelling.Scientific reports · 2025Article
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7 authors at 1 institution in 2 countries.
Funding
Abstract
BACKGROUND AND
objectivesAlzheimer disease (AD) is highly heterogeneous, with marked individual differences in clinical presentation and neurobiology. To explore this, we used neuroanatomical normative modeling to index regional patterns of variability in cortical thickness. We aimed to characterize individual differences and outliers in cortical thickness in patients with AD, people with mild cognitive impairment (MCI), and controls. Furthermore, we assessed the relationships between cortical thickness heterogeneity and cognitive function, β-amyloid, phosphorylated-tau, and ApoE genotype. Finally, we examined whether cortical thickness heterogeneity was predictive of conversion from MCI to AD.
methodsCortical thickness measurements across 148 brain regions were obtained from T1-weighted MRI scans from 62 sites of the Alzheimer's Disease Neuroimaging Initiative. AD was determined by clinical and neuropsychological examination with no comorbidities present. Participants with MCI had reported memory complaints, and controls were cognitively normal. A neuroanatomical normative model indexed cortical thickness distributions using a separate healthy reference data set (n = 33,072), which used hierarchical Bayesian regression to predict cortical thickness per region using age and sex, while adjusting for site noise.
resultsPatients with AD (n = 206) had a median of 12 outlier regions (out of a possible 148), with the highest proportion of outliers (47%) in the parahippocampal gyrus. For 62 regions, over 90% of these patients had cortical thicknesses within the normal range. Patients with AD had more outlier regions than people with MCI (n = 662) or controls (n = 159) ( DISCUSSION: Individualized normative maps of cortical thickness highlight the heterogeneous effect of AD on the brain. Regional outlier estimates have the potential to be a marker of disease and could be used to track an individual's disease progression or treatment response in clinical trials.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.