ArticleeLife2020
Diffusion-MRI-based regional cortical microstructure at birth for predicting neurodevelopmental outcomes of 2-year-olds.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review.Frontiers in artificial intelligence · 2025Pooled it
- External validation improves generalizability, replicability and reproducibility in predictive models for neuroimaging.Nature methods · 2026Review
- Diffusion-MRI-Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Hierarchical maturation of structural brain connectomes from birth to childhood.Nature communications · 2026Article
- Alterations of multilayer network correlated with cognitive impairment and gene expression profiles in children with idiopathic generalized epilepsy.Scientific reports · 2025Article
- Structure-function coupling in the first month of life: Associations with age and attention.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Machine-learning based prediction of future outcome using multimodal MRI during early childhood.Seminars in fetal & neonatal medicine · 2024Review
- Longitudinal associations between language network characteristics in the infant brain and school-age reading abilities are mediated by early-developing phonological skills.Developmental cognitive neuroscience · 2024Article
- Longitudinal associations between language network characteristics in the infant brain and school-age reading abilities are mediated by early-developing phonological skills.bioRxiv : the preprint server for biology · 2024Article
- Diffusion-tensor-imaging 1-year-old and 2-year-old infant brain atlases with comprehensive gray and white matter labels.Human brain mapping · 2024Article
- Development of sensorimotor-visual connectome gradient at birth predicts neurocognitive outcomes at 2 years of age.iScience · 2024Article
- Predicting neurodevelopmental outcomes from neonatal cortical microstructure: A conceptual replication study.Neuroimage. Reports · 2023Article
- Disrupted white matter microstructure correlates with impulsivity in children and adolescents with bipolar disorder.Journal of psychiatric research · 2023Article
- Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Prediction of Facial Emotion Recognition Ability in Patients With First-Episode Schizophrenia Using Amplitude of Low-Frequency Fluctuation-Based Support Vector Regression Model.Frontiers in psychiatry · 2022Article
- Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Flattened Structural Network Changes and Association of Hyperconnectivity With Symptom Severity in 2-7-Year-Old Children With Autism.Frontiers in neuroscience · 2021Article
- Cognitive Outcome Prediction in Infants With Neonatal Hypoxic-Ischemic Encephalopathy Based on Functional Connectivity and Complexity of the Electroencephalography Signal.Frontiers in human neuroscience · 2021Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Cerebral cortical architecture at birth encodes regionally differential dendritic arborization and synaptic formation. It underlies behavioral emergence of 2-year-olds. Brain changes in 0-2 years are most dynamic across the lifespan. Effective prediction of future behavior with brain microstructure at birth will reveal structural basis of behavioral emergence in typical development and identify biomarkers for early detection and tailored intervention in atypical development. Here we aimed to evaluate the neonate whole-brain cortical microstructure quantified by diffusion MRI for predicting future behavior. We found that individual cognitive and language functions assessed at the age of 2 years were robustly predicted by neonate cortical microstructure using support vector regression. Remarkably, cortical regions contributing heavily to the prediction models exhibited distinctive functional selectivity for cognition and language. These findings highlight regional cortical microstructure at birth as a potential sensitive biomarker in predicting future neurodevelopmental outcomes and identifying individual risks of brain disorders.
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