ReviewBiological psychiatry2020
Modeling Individual Differences in Brain Development.
Review in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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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.
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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
31 citing papers in PubMed.
- Heterogeneous functional state dynamics and its structural substrates in male individuals with autism spectrum disorder.Molecular psychiatry · 2026Article
- Adversity and adolescent brain development: differential associations with grey and white matter across two longitudinal cohorts.bioRxiv : the preprint server for biology · 2026Article
- Early Relational Health and its Impact on the Developing Brain: A Scoping Review.Clinical child and family psychology review · 2026Article
- Individual differences reveal distinct age and pubertal contributions to the refinement of the functional cortical hierarchy during adolescence.bioRxiv : the preprint server for biology · 2026Article
- Individual differences in adolescent cortical development are associated with neighborhood characteristics: Longitudinal findings from the ABCD study.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Individual Differences in Developmental Trajectories of Global and Subcortical Brain Volumes Between Late Childhood and Late Adolescence: Findings From a 12-Wave Neuroimaging Study.Human brain mapping · 2025Article
- Addressing artifactual bias in large, automated MRI analyses of brain development.Nature neuroscience · 2025Article
- Revealing morphological fingerprints in perinatal brains using quasi-conformal mapping: occurrence and neurodevelopmental implications.Brain imaging and behavior · 2025Article
- Regional patterns of human cortex development correlate with underlying neurobiology.Nature communications · 2024Article
- Regional patterns of human cortex development correlate with underlying neurobiology.bioRxiv : the preprint server for biology · 2024Article
- Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence.Nature communications · 2024Article
- Bouncing back: a longitudinal examination of challenge within football academy environments.Frontiers in sports and active living · 2024Article
- Profiling intra- and inter-individual differences in brain development across early adolescence.NeuroImage · 2023Article
- The Hitchhiker's guide to longitudinal models: A primer on model selection for repeated-measures methods.Developmental cognitive neuroscience · 2023Article
- Stability, change, and reliable individual differences in electroencephalography measures: A lifespan perspective on progress and opportunities.NeuroImage · 2023Review
- Physical symptoms and brain morphology: a population neuroimaging study in 12,286 pre-adolescents.Translational psychiatry · 2023Article
- Whole-brain mapping of neuronal activity evoked by maternal separation in neonatal mice: An association with ultrasound vocalization.Neuropsychopharmacology reports · 2023Article
- Common neural substrates of diverse neurodevelopmental disorders.Brain : a journal of neurology · 2023Article
- Article
- Neural heterogeneity underlying late adolescent motivational processing is linked to individual differences in behavioral sensation seeking.Journal of neuroscience research · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Within the field of developmental cognitive neuroscience, there is an increasing interest in studying individual differences in human brain development in order to predict mental health outcomes. So far, however, most longitudinal neuroimaging studies focus on group-level estimates. In this review, we highlight longitudinal neuroimaging studies that have moved beyond group-level estimates to illustrate the heterogeneity in patterns of brain development. We provide practical methodological recommendations on how longitudinal neuroimaging datasets can be used to understand heterogeneity in human brain development. Finally, we address how taking an individual-differences approach in developmental neuroimaging studies could advance our understanding of why some individuals develop mental health disorders.
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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.