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细胞结构相似性与人类大脑连通性的多尺度研究

Multiscale examination of cytoarchitectonic similarity and human brain connectivity.

作者信息

Wei Yongbin, Scholtens Lianne H, Turk Elise, van den Heuvel Martijn P

机构信息

Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

出版信息

Netw Neurosci. 2018 Nov 1;3(1):124-137. doi: 10.1162/netn_a_00057. eCollection 2019.

Abstract

The human brain comprises an efficient communication network, with its macroscale connectome organization argued to be directly associated with the underlying microscale organization of the cortex. Here, we further examine this link in the human brain cortex by using the ultrahigh-resolution BigBrain dataset; 11,660 BigBrain profiles of laminar cell structure were extracted from the BigBrain data and mapped to the MRI based Desikan-Killiany atlas used for macroscale connectome reconstruction. Macroscale brain connectivity was reconstructed based on the diffusion-weighted imaging dataset from the Human Connectome Project and cross-correlated to the similarity of laminar profiles. We showed that the BigBrain profile similarity between interconnected cortical regions was significantly higher than those between nonconnected regions. The pattern of BigBrain profile similarity across the entire cortex was also found to be strongly correlated with the pattern of cortico-cortical connectivity at the macroscale. Our findings suggest that cortical regions with higher similarity in the laminar cytoarchitectonic patterns have a higher chance of being connected, extending the evidence for the linkage between macroscale connectome organization and microscale cytoarchitecture.

摘要

人类大脑包含一个高效的通信网络,其宏观连接组组织被认为与皮层的潜在微观组织直接相关。在这里,我们通过使用超高分辨率的大脑数据集进一步研究人类大脑皮层中的这种联系;从大脑数据中提取了11660个层状细胞结构的大脑剖面图,并将其映射到用于宏观连接组重建的基于磁共振成像的Desikan-Killiany图谱上。基于人类连接组计划的扩散加权成像数据集重建宏观大脑连通性,并与层状剖面图的相似性进行交叉相关分析。我们发现,相互连接的皮层区域之间的大脑剖面图相似性显著高于未连接区域之间的相似性。还发现整个皮层的大脑剖面图相似性模式与宏观尺度上的皮质-皮质连通性模式密切相关。我们的研究结果表明,层状细胞结构模式相似性较高的皮层区域具有更高的连接机会,这进一步证明了宏观连接组组织与微观细胞结构之间的联系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6410/6372019/064d98909a85/netn-03-124-g001.jpg

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