ReviewFrontiers in human neuroscience2014
What contributes to individual differences in brain structure?
Review in Frontiers in human neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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.
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Who cites it
27 citing papers in PubMed, 75 citations in OpenAlex.
- VarCoNet: A Variability-Aware Self-Supervised Framework for Functional Connectome Extraction From Resting-State fMRI.Human brain mapping · 2026Article
- Understanding heterogeneity in psychiatric disorders: A method for identifying subtypes and parsing comorbidity.Psychiatry and clinical neurosciences · 2025Article
- Probabilistic coverage of the frontal aslant tract in young adults: Insights into individual variability, lateralization, and language functions.Human brain mapping · 2024Article
- A multimodal dataset for investigating working memory in presence of music: a pilot study.Frontiers in neuroscience · 2024Article
- Brain morphological variability between whites and African Americans: the importance of racial identity in brain imaging research.Frontiers in integrative neuroscience · 2023Article
- Disentangling disorder-specific variation is key for precision psychiatry in autism.Frontiers in behavioral neuroscience · 2023Article
- The multimodal Munich Clinical Deep Phenotyping study to bridge the translational gap in severe mental illness treatment research.Frontiers in psychiatry · 2023Article
- Probing individual-level structural atrophy in frontal glioma patients.Neurosurgical review · 2022Article
- The ABCD Study: Brain Heterogeneity in Intelligence During a Neurodevelopmental Transition Stage.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Neuroplasticity to autophagy cross-talk in a therapeutic effect of physical exercises and irisin in ADHD.Frontiers in molecular neuroscience · 2022Review
- Shared heritability of human face and brain shape.Nature genetics · 2021Article
- Multivariate Analysis and Modelling of multiple Brain endOphenotypes: Let's MAMBO!Computational and structural biotechnology journal · 2021Review
- Immune-Related Genetic Overlap Between Regional Gray Matter Reductions and Psychiatric Symptoms in Adolescents, and Gene-Set Validation in a Translational Model.Frontiers in systems neuroscience · 2021Article
- Judging Relative Onsets and Offsets of Audiovisual Events.Vision (Basel, Switzerland) · 2020Article
- CHIMGEN: a Chinese imaging genetics cohort to enhance cross-ethnic and cross-geographic brain research.Molecular psychiatry · 2020Review
- Interindividual differences in gray and white matter properties are associated with early complex motor skill acquisition.Human brain mapping · 2019Article
- Addressing challenges of high spatial resolution UHF fMRI for group analysis of higher-order cognitive tasks: An inter-sensory task directing attention between visual and somatosensory domains.Human brain mapping · 2019Article
- A Key Characteristic of Sex Differences in the Developing Brain: Greater Variability in Brain Structure of Boys than Girls.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- Interpreting and Utilising Intersubject Variability in Brain Function.Trends in cognitive sciences · 2018Review
- Individual differences in visual science: What can be learned and what is good experimental practice?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
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Individual differences in adult human brain structure have been found to reveal a great deal of information about variability in behaviors, cognitive abilities and mental and physical health. Driven by such evidence, what contributes to individual variation in brain structure has gained accelerated attention as a research question. Findings thus far appear to support the notion that an individual's brain architecture is determined largely by genetic and environmental influences. This review aims to evaluate the empirical literature on whether and how genes and the environment contribute to individual differences in brain structure. It first considers how genetic and environmental effects may separately contribute to brain morphology, by examining evidence from twin, genome-wide association, cross-sectional and longitudinal studies. Next, evidence for the influence of the complex interplay between genetic and environmental factors, characterized as gene-environment interactions and correlations, is reviewed. In evaluating the extant literature, this review will conclude that both genetic and environmental factors play critical roles in contributing to individual variability in brain structure.
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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.