ArticleCerebral cortex (New York, N.Y. : 1991)2023
Cortex2vector: anatomical embedding of cortical folding patterns.
Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- 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
- DEEP-GYRALNET: ENABLING MACHINE LEARNING IN GYRAL FOLDING PATTERN EXTRACTION ON CORTICAL SURFACE.Proceedings. IEEE International Symposium on Biomedical Imaging · 2026Article
- USING STRUCTURAL SIMILARITY AND KOLMOGOROV-ARNOLD NETWORKS FOR ANATOMICAL EMBEDDING OF CORTICAL FOLDING PATTERNS.Proceedings. IEEE International Symposium on Biomedical Imaging · 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
- Disease2Vec: Encoding Alzheimer's progression via disease embedding tree.Pharmacological research · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
Current brain mapping methods highly depend on the regularity, or commonality, of anatomical structure, by forcing the same atlas to be matched to different brains. As a result, individualized structural information can be overlooked. Recently, we conceptualized a new type of cortical folding pattern called the 3-hinge gyrus (3HG), which is defined as the conjunction of gyri coming from three directions. Many studies have confirmed that 3HGs are not only widely existing on different brains, but also possess both common and individual patterns. In this work, we put further effort, based on the identified 3HGs, to establish the correspondences of individual 3HGs. We developed a learning-based embedding framework to encode individual cortical folding patterns into a group of anatomically meaningful embedding vectors (cortex2vector). Each 3HG can be represented as a combination of these embedding vectors via a set of individual specific combining coefficients. In this way, the regularity of folding pattern is encoded into the embedding vectors, while the individual variations are preserved by the multi-hop combination coefficients. Results show that the learned embeddings can simultaneously encode the commonality and individuality of cortical folding patterns, as well as robustly infer the complicated many-to-many anatomical correspondences among different brains.
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