Cortical Morphological Networks Differ Between Gyri and Sulci.
10.1007/s12264-024-01262-7
- Author:
Qingchun LIN
1
;
Suhui JIN
1
;
Guole YIN
1
;
Junle LI
1
;
Umer ASGHER
2
;
Shijun QIU
3
;
Jinhui WANG
4
Author Information
1. Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, China.
2. Department of Air Transport, Faculty of Transportation Sciences, Czech Technical University in Prague (CTU), Prague, 128 00, Czech Republic.
3. Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
4. Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, China. jinhui.wang.1982@m.scnu.edu.cn.
- Publication Type:Journal Article
- Keywords:
Cortical folding;
Graph theory;
Magnetic resonance imaging;
Morphological connectivity;
Test-retest reliability
- MeSH:
Humans;
Cerebral Cortex/anatomy & histology*;
Male;
Female;
Magnetic Resonance Imaging;
Adult;
Connectome/methods*;
Young Adult;
Nerve Net/anatomy & histology*;
Neural Pathways;
Depressive Disorder, Major/diagnostic imaging*
- From:
Neuroscience Bulletin
2025;41(1):46-60
- CountryChina
- Language:English
-
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.
