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视觉皮层中的自发活动由视觉信息流组织。

Spontaneous activity in the visual cortex is organized by visual streams.

作者信息

Lu Kun-Han, Jeong Jun Young, Wen Haiguang, Liu Zhongming

机构信息

School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana.

Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, Indiana.

出版信息

Hum Brain Mapp. 2017 Sep;38(9):4613-4630. doi: 10.1002/hbm.23687. Epub 2017 Jun 13.

Abstract

Large-scale functional networks have been extensively studied using resting state functional magnetic resonance imaging (fMRI). However, the pattern, organization, and function of fine-scale network activity remain largely unknown. Here, we characterized the spontaneously emerging visual cortical activity by applying independent component (IC) analysis to resting state fMRI signals exclusively within the visual cortex. In this subsystem scale, we observed about 50 spatially ICs that were reproducible within and across subjects, and analyzed their spatial patterns and temporal relationships to reveal the intrinsic parcellation and organization of the visual cortex. The resulting visual cortical parcels were aligned with the steepest gradient of cortical myelination, and were organized into functional modules segregated along the dorsal/ventral pathways and foveal/peripheral early visual areas. Cortical distance could partly explain intra-hemispherical functional connectivity, but not interhemispherical connectivity; after discounting the effect of anatomical affinity, the fine-scale functional connectivity still preserved a similar visual-stream-specific modular organization. Moreover, cortical retinotopy, folding, and cytoarchitecture impose limited constraints to the organization of resting state activity. Given these findings, we conclude that spontaneous activity patterns in the visual cortex are primarily organized by visual streams, likely reflecting feedback network interactions. Hum Brain Mapp 38:4613-4630, 2017. © 2017 Wiley Periodicals, Inc.

摘要

大规模功能网络已通过静息态功能磁共振成像(fMRI)得到广泛研究。然而,精细尺度网络活动的模式、组织和功能在很大程度上仍不清楚。在此,我们通过对仅视觉皮层内的静息态fMRI信号应用独立成分(IC)分析来表征自发出现的视觉皮层活动。在这个子系统尺度上,我们观察到约50个在个体内和个体间可重复的空间独立成分,并分析了它们的空间模式和时间关系,以揭示视觉皮层的内在分割和组织。由此产生的视觉皮层分区与皮层髓鞘形成的最陡梯度对齐,并被组织成沿背侧/腹侧通路以及中央凹/周边早期视觉区域分离的功能模块。皮层距离可以部分解释半球内功能连接,但不能解释半球间连接;在消除解剖学亲和力的影响后,精细尺度的功能连接仍然保留了类似的视觉流特异性模块化组织。此外,皮层视网膜拓扑、折叠和细胞结构对静息态活动的组织施加了有限的限制。基于这些发现,我们得出结论,视觉皮层中的自发活动模式主要由视觉流组织,可能反映了反馈网络相互作用。《人类大脑图谱》38:4613 - 4630,2017年。© 2017威利期刊公司。

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本文引用的文献

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Relationships between cortical myeloarchitecture and electrophysiological networks.皮质髓鞘结构与电生理网络之间的关系。
Proc Natl Acad Sci U S A. 2016 Nov 22;113(47):13510-13515. doi: 10.1073/pnas.1608587113. Epub 2016 Nov 8.
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A multi-modal parcellation of human cerebral cortex.人类大脑皮层的多模态分区
Nature. 2016 Aug 11;536(7615):171-178. doi: 10.1038/nature18933. Epub 2016 Jul 20.

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