华南师范大学王金辉研究小组发现，神经节和神经鞘的皮层形态网络存在差异。这一研究成果于2024年7月23日在线发表在国际学术期刊《神经科学通报》上。

研究人员探讨了由凸面脑回和凹面脑沟组成的人脑皮层折叠模式如何影响单一受试者的形态学脑网络，这已成为研究人脑连通组的重要方法。

研究人员发现，对于基于皮层厚度和脑回起伏指数的网络，脑回-脑回网络表现出更高的形态学相似性、更低的小世界参数和较低的长期重测可靠性，而脑沟-脑沟网络则表现出相反的模式。基于分形维度的网络则显示出相反的情况。进一步的行为关联分析揭示，基于分形维度和脑沟深度的网络中，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认知和运动领域的个体差异。

最后，临床应用表明，只有脑沟-脑沟网络在皮层厚度、分形维度和脑回起伏指数基础的网络中显示了在重度抑郁症中的形态学相似性减少。综上所述，这些发现提供了关于皮层折叠模式对人脑网络组织的约束的新见解。

附：英文原文

Title: Cortical Morphological Networks Differ Between Gyri and Sulci

Author: Lin, Qingchun, Jin, Suhui, Yin, Guole, Li, Junle, Asgher, Umer, Qiu, Shijun, Wang, Jinhui

Issue&Volume: 2024-07-23

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.

DOI: 10.1007/s12264-024-01262-7

Source: https://link.springer.com/article/10.1007/s12264-024-01262-7