ArticleeLife2022
Charting brain growth and aging at high spatial precision.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
127 citing papers in PubMed.
- Accelerated Brain Aging Identifies Functional Vulnerability Beyond Chronological Age in Multiple Sclerosis.Sensors (Basel, Switzerland) · 2026Trial
- Normative Modeling of Amygdala Subfields and Disease-Specific Vulnerabilities Across Neurological Disorders.Neuroscience bulletin · 2026Article
- Multiscale Heterogeneity of White Matter Morphometry in Psychiatric Disorders.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Charting confidence in white matter brain charts: enabling study planning through stability validation.Journal of medical imaging (Bellingham, Wash.) · 2026Article
- Latent representations of early brain development: A multivariate normative model of brain structure and behaviour.Developmental cognitive neuroscience · 2026Article
- A Researcher's guide to rodent models of Down syndrome: Recent insights and translational perspectives.STAR protocols · 2026Review
- NeuroLangSeg: Language-Guided Subcortical Segmentation with Pseudo-Supervision and Anatomical-Linguistic Validation.Proceedings of machine learning research · 2026Article
- miniMORPH: A Morphometry Pipeline for Low-Field MRI in Infants.Human brain mapping · 2026Article
- Aging and metabolism contribute separately to brain-body health.PLoS biology · 2026Article
- Lifespan normative modeling of brain microstructure.Nature communications · 2026Article
- Developing a multi-modal neuroimaging-based BrainAge model across childhood.bioRxiv : the preprint server for biology · 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
- Lamellar Normative Modelling of the Hippocampus Across the Human Lifespan.bioRxiv : the preprint server for biology · 2026Article
- Cerebellar growth is associated with domain-specific cerebral maturation and socio-linguistic behavior.Nature communications · 2026Article
- Brain charts for neuroanatomical sex differences across the human lifespan.bioRxiv : the preprint server for biology · 2026Article
- Normative modeling reveals functional connectivity heterogeneity in internet gaming disorder.Annals of general psychiatry · 2026Article
- Global Socioeconomic Context and Brain Ageing in Epilepsy: an ENIGMA-Epilepsy study.medRxiv : the preprint server for health sciences · 2026Article
- Structural brain imaging biomarkers for predicting seizure recurrence after a first unprovoked seizure.Epilepsia open · 2026Article
- Mapping cerebellar subregional volumes and heterogeneity in schizophrenia spectrum disorders and violence.European archives of psychiatry and clinical neuroscience · 2026Article
- Normative modeling of MEG brain oscillations across the human lifespan.Communications biology · 2026Article
67 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors.
Funding
Abstract
Defining reference models for population variation, and the ability to study individual deviations is essential for understanding inter-individual variability and its relation to the onset and progression of medical conditions. In this work, we assembled a reference cohort of neuroimaging data from 82 sites (N=58,836; ages 2-100) and used normative modeling to characterize lifespan trajectories of cortical thickness and subcortical volume. Models are validated against a manually quality checked subset (N=24,354) and we provide an interface for transferring to new data sources. We showcase the clinical value by applying the models to a transdiagnostic psychiatric sample (N=1985), showing they can be used to quantify variability underlying multiple disorders whilst also refining case-control inferences. These models will be augmented with additional samples and imaging modalities as they become available. This provides a common reference platform to bind results from different studies and ultimately paves the way for personalized clinical decision-making.
Indexed as
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What OpenQuestion holds
Registered trials
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.