ArticleHuman brain mapping2019
Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Quantitative assessment of neurodevelopmental maturation: a comprehensive systematic literature review of artificial intelligence-based brain age prediction in pediatric populations.Frontiers in neuroinformatics · 2024Pooled it
- Physical Activity and Adolescent Brain Structure, Mental Health, and Academic Outcomes.JAMA network open · 2026Article
- Understanding the Cognitive Load of Cell Phone Use While Walking: Distinct Effects of Texting and Phone Conversation.Brain sciences · 2026Article
- Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence.Nature communications · 2024Article
- Schizophrenia Polygenic Risk During Typical Development Reflects Multiscale Cortical Organization.Biological psychiatry global open science · 2023Article
- Predicting 'Brainage' in late childhood to adolescence (6-17yrs) using structural MRI, morphometric similarity, and machine learning.Scientific reports · 2023Article
- Predicting 'Brainage' in the Developmental Period using Structural MRI, Morphometric Similarity, and Machine Learning.Research square · 2023Article
- Sex and age variations in the impact of puberty on cortical thickness and associations with internalizing symptoms and suicidal ideation in early adolescence.Developmental cognitive neuroscience · 2023Article
- Effects of the COVID-19 Pandemic on Mental Health and Brain Maturation in Adolescents: Implications for Analyzing Longitudinal Data.Biological psychiatry global open science · 2022Article
- Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders.Neuropsychology review · 2022Review
- Article
- Understanding Sensitive Period Effects in Musical Training.Current topics in behavioral neurosciences · 2022Article
- The development of structural covariance networks during the transition from childhood to adolescence.Scientific reports · 2021Article
- Explainable Deep Learning for Personalized Age Prediction With Brain Morphology.Frontiers in neuroscience · 2021Article
- Distinct influence of parental occupation on cortical thickness and surface area in children and adolescents: Relation to self-esteem.Human brain mapping · 2020Article
- Non-negative data-driven mapping of structural connections with application to the neonatal brain.NeuroImage · 2020Article
- Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction.Brain sciences · 2020Article
- Brain Age Prediction With Morphological Features Using Deep Neural Networks: Results From Predictive Analytic Competition 2019.Frontiers in psychiatry · 2020Article
- Gender-Related and Hemispheric Effects in Cortical Thickness-Based Hemispheric Brain Morphological Network.BioMed research international · 2020Article
- Charting shared developmental trajectories of cortical thickness and structural connectivity in childhood and adolescence.Human brain mapping · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The cortex is organised into broadly hierarchical functional systems with distinct neuroanatomical characteristics reflected by macroscopic measures of cortical morphology. Diffusion-weighted magnetic resonance imaging allows the delineation of areal connectivity, changes to which reflect the ongoing maturation of white matter tracts. These developmental processes are intrinsically linked with timing coincident with the development of cognitive function. In this study, we use a data-driven multivariate approach, nonnegative matrix factorisation, to define cortical regions that co-vary together across a large paediatric cohort (n = 456) and are associated with specific subnetworks of cortical connectivity. We find that age between 3 and 21 years is associated with accelerated cortical thinning in frontoparietal regions, whereas relative thinning of primary motor and sensory regions is slower. Together, the subject-specific weights of the derived set of cortical components can be combined to predict chronological age. Structural connectivity networks reveal a relative increase in strength in connection within, as opposed to between hemispheres that vary in line with cortical changes. We confirm our findings in an independent sample.
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