ArticleMedical image analysis2017
Gyral net: A new representation of cortical folding organization.
Article in Medical image analysis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- MRI-based spectral analysis of fetal brain gyrification in typical development and in lissencephaly and polymicrogyria.Scientific reports · 2026Article
- DEEP-GYRALNET: ENABLING MACHINE LEARNING IN GYRAL FOLDING PATTERN EXTRACTION ON CORTICAL SURFACE.Proceedings. IEEE International Symposium on Biomedical Imaging · 2026Article
- A Unified Continuous Staging Framework for Alzheimer's Disease and Lewy Body Dementia via Hierarchical Anatomical Features.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026Article
- UNSUPERVISED CORTICAL SURFACE REGISTRATION NETWORK FOR ALIGNING GYRALNET.Proceedings. IEEE International Symposium on Biomedical Imaging · 2025Article
- USING STRUCTURAL SIMILARITY AND KOLMOGOROV-ARNOLD NETWORKS FOR ANATOMICAL EMBEDDING OF CORTICAL FOLDING PATTERNS.Proceedings. IEEE International Symposium on Biomedical Imaging · 2025Article
- Diffusion changes in minimally invasive parafascicular approach for deep-seated tumours: impact on clinical outcomes.Neurosurgical review · 2025Article
- Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.Medical image analysis · 2025Article
- ENHANCING GROUP-WISE CONSISTENCY IN 3-HINGE GYRUS MATCHING VIA ANATOMICAL EMBEDDING AND STRUCTURAL CONNECTIVITY OPTIMIZATION.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024Article
- MILD COGNITIVE IMPAIRMENT CLASSIFICATION USING A NOVEL FINER-SCALE BRAIN CONNECTOME.Proceedings. IEEE International Symposium on Biomedical Imaging · 2024Article
- Automatic Quantification of Normal Brain Gyrification Patterns and Changes in Fetuses with Polymicrogyria and Lissencephaly Based on MRI.AJNR. American journal of neuroradiology · 2023Article
- Mechanical hierarchy in the formation and modulation of cortical folding patterns.Scientific reports · 2023Article
- An integrated finite element method and machine learning algorithm for brain morphology prediction.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Cortex2vector: anatomical embedding of cortical folding patterns.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Identification for the cortical 3-Hinges folding pattern based on cortical morphological and structural features.Frontiers in neuroscience · 2023Article
- Cortical thickness systematically varies with curvature and depth in healthy human brains.Human brain mapping · 2022Article
- Cortical development coupling between surface area and sulcal depth on macaque brains.Brain structure & function · 2022Article
- Mechanism Exploration of 3-Hinge Gyral Formation and Pattern Recognition.Cerebral cortex communications · 2021Article
- Cortical 3-hinges could serve as hubs in cortico-cortical connective network.Brain imaging and behavior · 2020Article
- Identifying Cross-individual Correspondences of 3-hinge Gyri.Medical image analysis · 2020Article
- "Plis de passage" Deserve a Role in Models of the Cortical Folding Process.Brain topography · 2019Review
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Authors and funding
6 authors.
Funding
Abstract
One distinct feature of the cerebral cortex is its convex (gyri) and concave (sulci) folding patterns. Due to the remarkable complexity and variability of gyral/sulcal shapes, it has been challenging to quantitatively model their organization patterns. Inspired by the observation that the lines of gyral crests can form a connected graph on each brain hemisphere, we propose a new representation of cortical gyri/sulci organization pattern - gyral net, which models cortical architecture from a graph perspective, starting with nodes and edges obtained from the reconstructed cortical surfaces. A novel computational framework is developed to efficiently and automatically construct gyral nets from surface meshes, and four measurements are devised to quantify the folding patterns. Using an MRI dataset for autism study as a test bed, we identified reduced local connectivity cost and increased curviness of gyral net bilaterally on the parietal lobe, occipital lobe, and temporal lobe in autistic patients. Additionally, we found that the cortical thickness and the gyral straightness of gyral joints are higher than the rest of gyral crest regions. The proposed representation offers a new tool for a comprehensive and reliable characterization of the cortical folding organization. This novel computational framework will enable large-scale analyses of cortical folding patterns in the future.
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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.