ArticleHuman brain mapping2021
Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Synchrony between brain age and internalising and externalising symptoms across adolescence.medRxiv : the preprint server for health sciences · 2026Article
- Current challenges and future directions for brain age prediction in children and adolescents.Nature communications · 2025Review
- Neurodevelopmental imprints of sociomarkers in adolescent brain connectomes.Scientific reports · 2024Article
- Brain-age prediction: Systematic evaluation of site effects, and sample age range and size.Human brain mapping · 2024Article
- Efficacy of MRI data harmonization in the age of machine learning: a multicenter study across 36 datasets.Scientific data · 2024Article
- Relative brain age is associated with socioeconomic status and anxiety/depression problems in youth.Developmental psychology · 2024Article
- Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization.NeuroImage · 2023Review
- A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility.Patterns (New York, N.Y.) · 2023Review
- Transdiagnostic profiles of behaviour and communication relate to academic and socioemotional functioning and neural white matter organisation.Journal of child psychology and psychiatry, and allied disciplines · 2023Article
- Systematic evaluation of machine learning algorithms for neuroanatomically-based age prediction in youth.Human brain mapping · 2022Article
- Brain age prediction using fMRI network coupling in youths and associations with psychiatric symptoms.NeuroImage. Clinical · 2022Article
- Automated Multiclass Artifact Detection in Diffusion MRI VolumesFrontiers in human neuroscience · 2022Article
- Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Brain predicted age difference, or BrainPAD, compares chronological age to an age estimate derived by applying machine learning (ML) to MRI brain data. BrainPAD studies in youth have been relatively limited, often using only a single MRI modality or a single ML algorithm. Here, we use multimodal MRI with a stacked ensemble ML approach that iteratively applies several ML algorithms (AutoML). Eligible participants in the Healthy Brain Network (N = 489) were split into training and test sets. Morphometry estimates, white matter connectomes, or both were entered into AutoML to develop BrainPAD models. The best model was then applied to a held-out evaluation dataset, and associations with psychometrics were estimated. Models using morphometry and connectomes together had a mean absolute error of 1.18 years, outperforming models using a single MRI modality. Lower BrainPAD values were associated with more symptoms on the CBCL (p
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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.