ArticleNature communications2022
Genetic map of regional sulcal morphology in the human brain from UK biobank data.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Associations Between Teenage Motherhood, Perinatal Cortical Maturation, and Risk of Psychopathology in Children: The Mediating Role of Pregnancy Complications.Biological psychiatry global open science · 2026Article
- Artificial intelligence for pediatric neuroimaging.Pediatric radiology · 2026Review
- Deep neural networks and genome-wide associations reveal the polygenic architecture of local brain aging.GeroScience · 2026Article
- Personalized Estimates of Brain Cortical Structural Similarity in Major Depressive Disorder: Evidence from a Multi-Site Neuroimaging Dataset.Diagnostics (Basel, Switzerland) · 2026Article
- Linking changes in sulcal morphometry to cognitive development from childhood to adolescence.Communications biology · 2026Article
- Genetic insights on the mechanisms of human cortical folding.bioRxiv : the preprint server for biology · 2026Article
- Brain Folding Trajectories in Amyotrophic Lateral Sclerosis.Human brain mapping · 2026Article
- Sulcal Widening in Schizophrenia Maps onto Sulcal Hubs and Energy-Synaptic Genes.bioRxiv : the preprint server for biology · 2026Article
- Developmental trajectories of gyrification and sulcal morphometrics in children and adolescents at high familial risk for bipolar disorder or schizophrenia.Developmental cognitive neuroscience · 2025Article
- Major depressive disorder on a neuromorphic continuum.Nature communications · 2025Article
- A self-supervised learning framework for discovering cortical folding patterns under genetic influence: Application to the Anterior Cingulate Cortex.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Cortical Morphological Networks Differ Between Gyri and Sulci.Neuroscience bulletin · 2025Article
- Article
- Transcriptomic decoding of regional cortical vulnerability to major depressive disorder.Communications biology · 2024Article
- Neuroimaging genomics as a window into the evolution of human sulcal organization.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- A bipolar taxonomy of adult human brain sulcal morphology related to timing of fetal sulcation and trans-sulcal gene expression gradients.bioRxiv : the preprint server for biology · 2023Article
- Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study: Rationale, Design, and Background.JMA journal · 2023Review
- The evolution of Big Data in neuroscience and neurology.Journal of big data · 2023Article
- Risk loci in intrahepatic cholestasis of pregnancy.Nature reviews. Gastroenterology & hepatology · 2022Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Genetic associations with macroscopic brain structure can provide insights into brain function and disease. However, specific associations with measures of local brain folding are largely under-explored. Here, we conducted large-scale genome- and exome-wide associations of regional cortical sulcal measures derived from magnetic resonance imaging scans of 40,169 individuals in UK Biobank. We discovered 388 regional brain folding associations across 77 genetic loci, with genes in associated loci enriched for expression in the cerebral cortex, neuronal development processes, and differential regulation during early brain development. We integrated brain eQTLs to refine genes for various loci, implicated several genes involved in neurodevelopmental disorders, and highlighted global genetic correlations with neuropsychiatric phenotypes. We provide an interactive 3D visualisation of our summary associations, emphasising added resolution of regional analyses. Our results offer new insights into the genetic architecture of brain folding and provide a resource for future studies of sulcal morphology in health and disease.
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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 Socratic graph.