Cortical Morphological Networks Differ Between Gyri and Sulci.

IF 5.9 2区 医学 Q1 NEUROSCIENCES Neuroscience bulletin Pub Date : 2024-07-23 DOI:10.1007/s12264-024-01262-7
Qingchun Lin, Suhui Jin, Guole Yin, Junle Li, Umer Asgher, Shijun Qiu, Jinhui Wang
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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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神经节和脑室的皮层形态网络存在差异
本研究探讨了由凸回纹和凹沟组成的人类皮层折叠模式如何影响单个受试者形态学脑网络,这种脑网络正成为研究人类大脑连接组的一种重要方法。我们发现,在基于皮层厚度和回旋指数的网络中,陀螺-陀螺网络比凹槽-凹槽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测试-重复可靠性,而在基于分形维度的网络中则观察到相反的模式。进一步的行为关联分析表明,在认知和运动领域,基于分形维度和基于沟深度的网络能显著解释回旋-嵴网络以及回旋和沟区域之间的连接的个体间差异。最后,临床应用表明,对于基于皮质厚度、分形维度和回旋指数的网络,只有沟-沟网络在重度抑郁障碍中表现出形态相似性降低。综上所述,这些发现为了解皮质折叠模式对人脑网络组织的制约提供了新的见解。
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来源期刊
Neuroscience bulletin
Neuroscience bulletin NEUROSCIENCES-
CiteScore
7.20
自引率
16.10%
发文量
163
审稿时长
6-12 weeks
期刊介绍: Neuroscience Bulletin (NB), the official journal of the Chinese Neuroscience Society, is published monthly by Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS) and Springer. NB aims to publish research advances in the field of neuroscience and promote exchange of scientific ideas within the community. The journal publishes original papers on various topics in neuroscience and focuses on potential disease implications on the nervous system. NB welcomes research contributions on molecular, cellular, or developmental neuroscience using multidisciplinary approaches and functional strategies. We feature full-length original articles, reviews, methods, letters to the editor, insights, and research highlights. As the official journal of the Chinese Neuroscience Society, which currently has more than 12,000 members in China, NB is devoted to facilitating communications between Chinese neuroscientists and their international colleagues. The journal is recognized as the most influential publication in neuroscience research in China.
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