ReviewNature communications2018
Prediction complements explanation in understanding the developing brain.
Review in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
104 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review and Meta-analysis: Task-based fMRI Studies in Youths With Irritability.Journal of the American Academy of Child and Adolescent Psychiatry · 2023Pooled it
- Effect sizes for brain-based predictive models of cognition across the lifespan.Communications psychology · 2026Review
- A neural signature of sleep deprivation in the human brain.Nature communications · 2026Article
- Age-stratified individual-specific subspace of autism spectrum disorder based on common orthogonal basis extraction algorithm improves the accuracy of clinical symptoms prediction.BMC psychiatry · 2026Article
- Brain neuromarkers predict self- and other-related mentalizing across adult, clinical, and developmental samples.Nature communications · 2026Article
- Convergent and divergent brain-cognition development in early adolescence.Nature communications · 2026Article
- From Big to Small: Emerging Methods for Enhancing Precision Psychiatry Through Transfer Learning.Biological psychiatry · 2026Review
- Flexible brain state engagement predicts cognitive control transdiagnostically.bioRxiv : the preprint server for biology · 2026Article
- Representing Brain-Behavior Associations by Retaining High-Motion Minoritized Youth.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- When Brain Models Aren't Universal: Benchmarking of Ethnic Bias in MRI-Based Cognitive Prediction Across Modalities.bioRxiv : the preprint server for biology · 2025Article
- Identification and External Validation of a Problem Cannabis Risk Network.Biological psychiatry · 2025Article
- Modeling psychopathology in high-dimensional vector space using the high-dimensional symptom space (HDSS) model can operationalize precision psychiatry in US adolescents.Scientific reports · 2025Article
- Predicting Real-Life Cognitive Scores From Functional Connectivity.Human brain mapping · 2025Article
- The Beholder's Share: Bridging art and neuroscience to study individual differences in subjective experience.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Temporal autocorrelation is predictive of age-An extensive MEG time-series analysis.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Stimulus Selection Influences Prediction of Individual Phenotypes in Naturalistic Conditions.Human brain mapping · 2025Article
- Mapping the neurodevelopmental predictors of psychopathology.Molecular psychiatry · 2025Article
- Using precision approaches to improve brain-behavior prediction.Trends in cognitive sciences · 2025Review
- Mapping the white-matter functional connectome: a personal perspective.Psychoradiology · 2025Review
- A data integration method for new advances in development cognitive neuroscience.Developmental cognitive neuroscience · 2024Article
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
A central aim of human neuroscience is understanding the neurobiology of cognition and behavior. Although we have made significant progress towards this goal, reliance on group-level studies of the developed adult brain has limited our ability to explain population variability and developmental changes in neural circuitry and behavior. In this review, we suggest that predictive modeling, a method for predicting individual differences in behavior from brain features, can complement descriptive approaches and provide new ways to account for this variability. Highlighting the outsized scientific and clinical benefits of prediction in developmental populations including adolescence, we show that predictive brain-based models are already providing new insights on adolescent-specific risk-related behaviors. Together with large-scale developmental neuroimaging datasets and complementary analytic approaches, predictive modeling affords us the opportunity and obligation to identify novel treatment targets and individually tailor the course of interventions for developmental psychopathologies that impact so many young people today.
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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.