ReviewWiley interdisciplinary reviews. Cognitive science2017
Individual differences in human brain development.
Review in Wiley interdisciplinary reviews. Cognitive science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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
14 citing papers in PubMed, 30 citations in OpenAlex.
- Individual differences in brain systems supporting declarative and procedural memory during grammatical error processing in children.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Islands of Inference: A Neurodevelopmental Architecture for Fixed Delusions.Psychopathology · 2026Review
- Characterization of bilateral reaching development using augmented reality games.Human movement science · 2024Article
- The Domain-Specific Neural Basis of Auditory Statistical Learning in 5-7-Year-Old Children.Neurobiology of language (Cambridge, Mass.) · 2024Article
- Hippocampus substructure segmentation using morphological vision transformer learning.Physics in medicine and biology · 2023Article
- An intelligent methodology for the use of multi-criteria decision analysis in impact assessment: the case of real-world offshore construction.Scientific reports · 2022Article
- The Role of Visual Experience in Individual Differences of Brain Connectivity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age.Sensors (Basel, Switzerland) · 2022Article
- Group-guided individual functional parcellation of the hippocampus and application to normal aging.Human brain mapping · 2021Article
- A Functional Magnetic Resonance Imaging Approach for Language Laterality Assessment in Young Children.Frontiers in pediatrics · 2020Article
- Neural Variability Limits Adolescent Skill Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Educational fMRI: From the Lab to the Classroom.Frontiers in psychology · 2019Review
- Evaluating time-reversed speech and signal-correlated noise as auditory baselines for isolating speech-specific processing using fNIRS.PloS one · 2019Article
- Individual differences in children's global motion sensitivity correlate with TBSS-based measures of the superior longitudinal fasciculus.Vision research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
This article discusses recent scientific advances in the study of individual differences in human brain development. Focusing on structural neuroimaging measures of brain morphology and tissue properties, two kinds of variability are related and explored: differences across individuals of the same age and differences across age as a result of development. A recent multidimensional modeling study is explained, which was able to use brain measures to predict an individual's chronological age within about one year on average, in children, adolescents, and young adults between 3 and 20 years old. These findings reveal great regularity in the sequence of the aggregate brain state across different ages and phases of development, despite the pronounced individual differences people show on any single brain measure at any given age. Future research is suggested, incorporating additional measures of brain activity and function. WIREs Cogn Sci 2017, 8:e1389. doi: 10.1002/wcs.1389 For further resources related to this article, please visit the WIREs website.
Indexed as
Identifiers
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.