ArticlePloS one2022
Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Lifespan normative modeling of brain microstructure.Nature communications · 2026Article
- Cerebellar growth is associated with domain-specific cerebral maturation and socio-linguistic behavior.Nature communications · 2026Article
- Normative modeling of MEG brain oscillations across the human lifespan.Communications biology · 2026Article
- The influence of sample size and covariate distributions on neuroanatomical normative modeling.eLife · 2026Article
- Consortium profile: the methylation, imaging and NeuroDevelopment (MIND) consortium.Molecular psychiatry · 2026Review
- Article
- Age-inappropriate white matter injury reveals hidden cerebral small vessel disease burden and mortality risk.Cerebral circulation - cognition and behavior · 2026Article
- Structural similarity networks reveal brain vulnerability in dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Challenges and best practices when using ComBAT to harmonize diffusion MRI data.Scientific reports · 2025Article
- Understanding individual neurodegenerative progression in Parkinson's disease through normative modelling.Scientific reports · 2025Article
- Lifespan Normative Modeling of Brain Microstructure.bioRxiv : the preprint server for biology · 2025Article
- Neuroanatomical normative modelling in frontotemporal lobar degeneration: higher heterogeneity in the behavioural variant.Journal of neurology · 2025Article
- Reevaluating the role of education on cognitive decline and brain aging in longitudinal cohorts across 33 Western countries.Nature medicine · 2025Article
- Predicting Mental and Neurological Illnesses Based on Cerebellar Normative Features.Biological psychiatry global open science · 2025Article
- Investigating dopaminergic abnormalities in schizophrenia and first-episode psychosis with normative modelling and multisite molecular neuroimaging.Molecular psychiatry · 2025Article
- Normative Modeling Reveals Age-Atypical Cortical Thickness Differences Between Hepatic Steatosis and Fibrosis in Non-Alcoholic Fatty Liver Disease.Brain and behavior · 2025Article
- Developmental trajectories of gyrification and sulcal morphometrics in children and adolescents at high familial risk for bipolar disorder or schizophrenia.Developmental cognitive neuroscience · 2025Article
- Article
- Reevaluating the Role of Education in Cognitive Decline and Brain Aging: Insights from Large-Scale Longitudinal Cohorts across 33 Countries.Research square · 2025Article
- Reevaluating the Role of Education in Cognitive Decline and Brain Aging: Insights from Large-Scale Longitudinal Cohorts across 33 Countries.medRxiv : the preprint server for health sciences · 2025Article
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12 authors.
Funding
Abstract
Clinical neuroimaging data availability has grown substantially in the last decade, providing the potential for studying heterogeneity in clinical cohorts on a previously unprecedented scale. Normative modeling is an emerging statistical tool for dissecting heterogeneity in complex brain disorders. However, its application remains technically challenging due to medical data privacy issues and difficulties in dealing with nuisance variation, such as the variability in the image acquisition process. Here, we approach the problem of estimating a reference normative model across a massive population using a massive multi-center neuroimaging dataset. To this end, we introduce a federated probabilistic framework using hierarchical Bayesian regression (HBR) to complete the life-cycle of normative modeling. The proposed model provides the possibilities to learn, update, and adapt the model parameters on decentralized neuroimaging data. Our experimental results confirm the superiority of HBR in deriving more accurate normative ranges on large multi-site neuroimaging datasets compared to the current standard methods. In addition, our approach provides the possibility to recalibrate and reuse the learned model on local datasets and even on datasets with very small sample sizes. The proposed method will facilitate applications of normative modeling as a medical tool for screening the biological deviations in individuals affected by complex illnesses such as mental disorders.
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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.