Lin Qingchun, Jin Suhui, Yin Guole, Li Junle, Asgher Umer, Qiu Shijun, Wang Jinhui
Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, China.
Department of Air Transport, Faculty of Transportation Sciences, Czech Technical University in Prague (CTU), Prague, 128 00, Czech Republic.
Neurosci Bull. 2025 Jan;41(1):46-60. doi: 10.1007/s12264-024-01262-7. Epub 2024 Jul 23.
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.
本研究探讨了由凸状脑回和凹状脑沟组成的人类皮质折叠模式如何影响单个体形态学脑网络,这正成为研究人类脑连接组的一种重要方法。我们发现,对于基于皮质厚度和脑回化指数的网络,脑回-脑回网络比脑沟-脑沟网络表现出更高的形态相似性、更低的小世界参数和更低的长期重测信度,而基于分形维数的网络则观察到相反的模式。进一步的行为关联分析表明,脑回-脑回网络以及脑回和脑沟区域之间的连接显著解释了基于分形维数和脑沟深度的网络在认知和运动领域的个体间差异。最后,临床应用表明,对于基于皮质厚度、分形维数和脑回化指数的网络,只有脑沟-脑沟网络在重度抑郁症中表现出形态相似性降低。综上所述,这些发现为皮质折叠模式对人类脑网络组织的限制提供了新的见解。