ReviewNature communications2025
Current challenges and future directions for brain age prediction in children and adolescents.
Review in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed.
- Methodological limitations of the BrainStructureAges pipeline from the volBrain platform: a brief report of the normative pediatric group.Pediatric radiology · 2026Article
- Transforming Brain Organoids Into Functional Platforms: Convergence of Engineering, Imaging, AI, and Ethics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The brain age gap as a predictor of alcohol initiation in adolescence.Developmental cognitive neuroscience · 2026Article
- A Lightweight ScaleDense-Transformer Framework with Auxiliary Quantum-Inspired Bottleneck Module for Whole-Lifespan Brain Age Prediction.Brain sciences · 2026Article
- Brain maintenance biomarkers from structural and functional interactions in aging and neurodegeneration.Nature communications · 2026Article
- Developing a multi-modal neuroimaging-based BrainAge model across childhood.bioRxiv : the preprint server for biology · 2026Article
- The Impact of Diabetes on Brain Health in Childhood.Biomedicines · 2026Review
- The Brain Age Gap as a Predictor of Alcohol Initiation in Adolescence.bioRxiv : the preprint server for biology · 2026Article
- A Systematic Evaluation of the Performance of Multiple Brain Age Algorithms in Two Cohorts of Youth.Human brain mapping · 2026Article
- Synchrony between brain age and internalising and externalising symptoms across adolescence.medRxiv : the preprint server for health sciences · 2026Article
- Brain Age as a Biomarker in Alzheimer's Disease: Narrative Perspectives on Imaging, Biomarkers, Machine Learning, and Intervention Potential.Brain sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Advancements in computational techniques have enhanced our understanding of human brain development, particularly through high-dimensional data from magnetic resonance imaging (MRI). One notable approach is the brain-age prediction framework, which predicts biological age from neuroimaging data and calculates the brain age gap (BAG), a marker of deviation from chronological age. Most commonly applied to adult samples, this approach is now increasingly used in children and adolescents. However, several considerations must be taken into account when applying brain-age prediction in youth. In this Perspective, we outline important challenges and provide recommendations for researchers as well as future directions for the field.
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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.