ReviewThe Lancet. Digital health2024
Normative modelling of brain morphometry across the lifespan with CentileBrain: algorithm benchmarking and model optimisation.
Review in The Lancet. Digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.
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Who cites it
76 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Normative Modeling of Brain Morphometry in Clinical High Risk for Psychosis.JAMA psychiatry · 2024Pooled it
- Stable depression subtypes identified using functional connectome normative deviation models and their response to rTMS.Molecular psychiatry · 2026Article
- Motivation and pleasure deficits reflect altered network embedding of normal brain deviations in schizophrenia.Schizophrenia research · 2026Article
- Charting confidence in white matter brain charts: enabling study planning through stability validation.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Estimating Accelerated Retinal Decline in Mental Health Disorders Through Normative Modeling.Schizophrenia bulletin · 2026Article
- Perinatal Factors and Neuroimaging Changes for Brain Maturation Among Adolescents.JAMA network open · 2026Article
- Molecular, cellular and network mapping of brain structural deviations in patients with Post-COVID19 syndrome.Brain, behavior, & immunity - health · 2026Article
- Family-Level Brain Pattern Similarities and Their Clinical Significance in Young Offspring of Individuals With Psychotic Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Article
- Global network and local vulnerabilities underlie brain atrophy across Parkinson's disease stages.Brain : a journal of neurology · 2026Article
- Article
- The Brain-Age Gap in Pediatric Dystonia: Neuroanatomical Deviations Inform Deep Brain Stimulation Outcomes.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Large-scale neural slowing measured with electroencephalography indexes secondary thalamic degeneration in stroke.medRxiv : the preprint server for health sciences · 2026Article
- Neurovariability as a signature of adaptive brain function.Brain structure & function · 2026Review
- Use of Z-Scores and Percentages to Assess Structural Brain MRI Findings in Patients With Schizophrenia.International journal of methods in psychiatric research · 2026Article
- Lifespan normative modeling of brain microstructure.Nature communications · 2026Article
- Brain age prediction in generalized anxiety disorder using a convolutional neural network.Translational psychiatry · 2026Article
- Empirical validation of race-neutral normative brain morphometry models across ethnoracially diverse populations.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dynamics of infant white matter maturation from birth to 6 months.Communications biology · 2026Article
- Brain charts for neuroanatomical sex differences across the human lifespan.bioRxiv : the preprint server for biology · 2026Article
16 more citing papers are in PubMed but not listed here.
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31 authors.
Funding
Abstract
The value of normative models in research and clinical practice relies on their robustness and a systematic comparison of different modelling algorithms and parameters; however, this has not been done to date. We aimed to identify the optimal approach for normative modelling of brain morphometric data through systematic empirical benchmarking, by quantifying the accuracy of different algorithms and identifying parameters that optimised model performance. We developed this framework with regional morphometric data from 37 407 healthy individuals (53% female and 47% male; aged 3-90 years) from 87 datasets from Europe, Australia, the USA, South Africa, and east Asia following a comparative evaluation of eight algorithms and multiple covariate combinations pertaining to image acquisition and quality, parcellation software versions, global neuroimaging measures, and longitudinal stability. The multivariate fractional polynomial regression (MFPR) emerged as the preferred algorithm, optimised with non-linear polynomials for age and linear effects of global measures as covariates. The MFPR models showed excellent accuracy across the lifespan and within distinct age-bins and longitudinal stability over a 2-year period. The performance of all MFPR models plateaued at sample sizes exceeding 3000 study participants. This model can inform about the biological and behavioural implications of deviations from typical age-related neuroanatomical changes and support future study designs. The model and scripts described here are freely available through CentileBrain.
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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.