Suppr超能文献

与多个大脑皮质网络一致相互作用的纹状体细分。

Striatal subdivisions that coherently interact with multiple cerebrocortical networks.

机构信息

Department of Neurophysiology, Juntendo University School of Medicine, Tokyo, Japan.

Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.

出版信息

Hum Brain Mapp. 2018 Nov;39(11):4349-4359. doi: 10.1002/hbm.24275. Epub 2018 Jul 5.

Abstract

The striatum constitutes the cortical-basal ganglia loop and receives input from the cerebral cortex. Previous MRI studies have parcellated the human striatum using clustering analyses of structural/functional connectivity with the cerebral cortex. However, it is currently unclear how the striatal regions functionally interact with the cerebral cortex to organize cortical functions in the temporal domain. In the present human functional MRI study, the striatum was parcellated using boundary mapping analyses to reveal the fine architecture of the striatum by focusing on local gradient of functional connectivity. Boundary mapping analyses revealed approximately 100 subdivisions of the striatum. Many of the striatal subdivisions were functionally connected with specific combinations of cerebrocortical functional networks, such as somato-motor (SM) and ventral attention (VA) networks. Time-resolved functional connectivity analyses further revealed coherent interactions of multiple connectivities between each striatal subdivision and the cerebrocortical networks (i.e., a striatal subdivision-SM connectivity and the same striatal subdivision-VA connectivity). These results suggest that the striatum contains a large number of subdivisions that mediate functional coupling between specific combinations of cerebrocortical networks.

摘要

纹状体构成皮质-基底节回路,并接收来自大脑皮层的输入。以前的 MRI 研究使用基于结构/功能连接与大脑皮层的聚类分析对人类纹状体进行了分区。然而,目前尚不清楚纹状体区域如何与大脑皮层进行功能交互,以在时间域中组织大脑皮层功能。在本项人类功能 MRI 研究中,使用边界映射分析对纹状体进行分区,通过关注功能连接的局部梯度来揭示纹状体的精细结构。边界映射分析揭示了纹状体的大约 100 个细分部分。许多纹状体细分部分与特定的大脑皮质功能网络(如躯体运动 (SM) 和腹侧注意 (VA) 网络)具有功能连接。时分辨联分析进一步揭示了每个纹状体细分部分与大脑皮质网络之间的多个连接之间的相干相互作用(即,纹状体细分部分-SM 连接和同一纹状体细分部分-VA 连接)。这些结果表明,纹状体包含大量细分部分,这些细分部分介导特定大脑皮质网络组合之间的功能耦合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ae/6866460/e36342fbae92/HBM-39-4349-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验