ArticleHuman brain mapping2024
Estimating cortical thickness trajectories in children across different scanners using transfer learning from normative models.
Article in Human brain mapping, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 19 citations in OpenAlex.
- Heterogeneous structural brain signatures of methamphetamine and ketamine use disorders revealed by normative modeling.Molecular psychiatry · 2026Article
- Lifespan normative modeling of brain microstructure.Nature communications · 2026Article
- Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks.JAMA psychiatry · 2026Article
- Characterizing spatiotemporal white matter hyperintensity pathophysiology in vivo to disentangle vascular and neurodegenerative contributions.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
- Predicting developmental norms from baseline cortical thickness in longitudinal studies.Biology of sex differences · 2026Article
- 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
- Mapping ADHD Heterogeneity and Biotypes through Topological Deviations in Morphometric Similarity Networks.medRxiv : the preprint server for health sciences · 2025Article
- A 10-Year Longitudinal Study of Brain Cortical Thickness in People with First-Episode Psychosis Using Normative Models.Schizophrenia bulletin · 2024Article
- Population-wide cerebellar growth models of children and adolescents.Nature communications · 2024Article
- Estimating cortical thickness trajectories in children across different scanners using transfer learning from normative models.Human brain mapping · 2024Article
- Extreme deviations from the normative model reveal cortical heterogeneity and associations with negative symptom severity in first-episode psychosis from the OPTiMiSE and GAP studies.Translational psychiatry · 2023Article
- From early to contemporary normative modeling: Mapping individual differences in neurophysiological signals.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
This work illustrates the use of normative models in a longitudinal neuroimaging study of children aged 6-17 years and demonstrates how such models can be used to make meaningful comparisons in longitudinal studies, even when individuals are scanned with different scanners across successive study waves. More specifically, we first estimated a large-scale reference normative model using Hierarchical Bayesian Regression from N = 42,993 individuals across the lifespan and from dozens of sites. We then transfer these models to a longitudinal developmental cohort (N = 6285) with three measurement waves acquired on two different scanners that were unseen during estimation of the reference models. We show that the use of normative models provides individual deviation scores that are independent of scanner effects and efficiently accommodate inter-site variations. Moreover, we provide empirical evidence to guide the optimization of sample size for the transfer of prior knowledge about the distribution of regional cortical thicknesses. We show that a transfer set containing as few as 25 samples per site can lead to good performance metrics on the test set. Finally, we demonstrate the clinical utility of this approach by showing that deviation scores obtained from the transferred normative models are able to detect and chart morphological heterogeneity in individuals born preterm.
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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.