ArticleNeuroscience bulletin2025
Cortical Morphological Networks Differ Between Gyri and Sulci.
Article in Neuroscience bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Aberrant multivariate mapping between behavioral profiles and cortical morphological brain networks in children with autism spectrum disorder.Translational psychiatry · 2026Article
- Sulcal Widening in Schizophrenia Maps onto Sulcal Hubs and Energy-Synaptic Genes.bioRxiv : the preprint server for biology · 2026Article
- Assessing the impact of fetal growth restriction using high-resolution MRI: a comprehensive cortical analysis.BMC pregnancy and childbirth · 2025Article
- Individual-level cortical morphological network analysis in idiopathic normal pressure hydrocephalus: diagnostic and prognostic insights.Fluids and barriers of the CNS · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
This study explored how the human cortical folding pattern composed of convex gyri and concave sulci affected single-subject morphological brain networks, which are becoming an important method for studying the human brain connectome. We found that gyri-gyri networks exhibited higher morphological similarity, lower small-world parameters, and lower long-term test-retest reliability than sulci-sulci networks for cortical thickness- and gyrification index-based networks, while opposite patterns were observed for fractal dimension-based networks. Further behavioral association analysis revealed that gyri-gyri networks and connections between gyral and sulcal regions significantly explained inter-individual variance in Cognition and Motor domains for fractal dimension- and sulcal depth-based networks. Finally, the clinical application showed that only sulci-sulci networks exhibited morphological similarity reductions in major depressive disorder for cortical thickness-, fractal dimension-, and gyrification index-based networks. Taken together, these findings provide novel insights into the constraint of the cortical folding pattern to the network organization of the human brain.
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