ArticleCerebral cortex (New York, N.Y. : 1991)2019
Genetic Complexity of Cortical Structure: Differences in Genetic and Environmental Factors Influencing Cortical Surface Area and Thickness.
Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled it.
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Who cites it
56 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Intelligence, educational attainment, and brain structure in those at familial high-risk for schizophrenia or bipolar disorder.Human brain mapping · 2022Pooled it
- The genetic architecture of the human cerebral cortex.Science (New York, N.Y.) · 2020Pooled it
- Physical Activity Is Associated With Age-Related Differences in Hippocampal Macrostructure and Microstructure in Middle-Aged and Older Adults.Hippocampus · 2026Article
- Deep Computational Anatomy via Latent-Aligned Multiview Normalizing Flows.bioRxiv : the preprint server for biology · 2026Article
- Mendelian randomization analyses support causal relationships between COVID-19 and changes in brain structure and function.European archives of psychiatry and clinical neuroscience · 2026Article
- Socioeconomic context influences the heritability of child cortical structure.Communications biology · 2025Article
- Socioeconomic context influences the heritability of child cortical structure.medRxiv : the preprint server for health sciences · 2025Article
- The Chongqing Adolescent Twin Study: An Integrative Multimodal Brain Imaging and Non-imaging Dataset.Scientific data · 2025Article
- Linking pregnancy- and birth-related risk factors to a multivariate fusion of child cortical structure.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Linking Pregnancy- and Birth-Related Risk Factors to a Multivariate Fusion of Child Cortical Structure.bioRxiv : the preprint server for biology · 2025Article
- Natural history progression of MRI brain volumetrics in type II late-infantile and juvenile GM1 gangliosidosis patients.Molecular genetics and metabolism · 2025Article
- Copy number variants and the tangential expansion of the cerebral cortex.Nature communications · 2025Article
- Tale of Two n-Backs: Diverging Associations of Dorsolateral Prefrontal Cortex Activation With n-Back Task Performance.Journal of neuroscience research · 2025Article
- Understanding Cognitive Decline in Aging: Mechanisms and Mitigation Strategies - A Narrative Review.Clinical interventions in aging · 2025Review
- Age-related decline in thickness and surface area in the cortical surface and hippocampus: lifespan trajectories and decade-by-decade analyses.GeroScience · 2024Article
- A sex-stratified analysis of the genetic architecture of human brain anatomy.Nature communications · 2024Article
- Influences of RASopathies on Neuroanatomical Variation in Children.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Joint modeling of human cortical structure: Genetic correlation network and composite-trait genetic correlation.NeuroImage · 2024Article
- Heritability of cerebellar subregion volumes in adolescent and young adult twins.Human brain mapping · 2024Article
- A tale of two n-backs: Diverging associations of dorsolateral prefrontal cortex activation with n-back task performance.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
7 authors.
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Abstract
Quantifying the genetic architecture of the cerebral cortex is necessary for understanding disease and changes to the brain across the lifespan. Prior work shows that both surface area (SA) and cortical thickness (CT) are heritable. However, we do not yet understand the extent to which region-specific genetic factors (i.e., independent of global effects) play a dominant role in the regional patterning or inter-regional associations across the cortex. Using a population sample of young adult twins (N = 923), we show that the heritability of SA and CT varies widely across regions, generally independent of measurement error. When global effects are controlled for, we detected a complex pattern of genetically mediated clusters of inter-regional associations, which varied between hemispheres. There were generally weak associations between the SA of different regions, except within the occipital lobe, whereas CT was positively correlated within lobar divisions and negatively correlated across lobes, mostly due to genetic covariation. These findings were replicated in an independent sample of twins and siblings (N = 698) from the Human Connectome Project. The different genetic contributions to SA and CT across regions reveal the value of quantifying sources of covariation to appreciate the genetic complexity of cortical structures.
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