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静息态功能连接反映默认模式网络中的结构连接。

Resting-state functional connectivity reflects structural connectivity in the default mode network.

作者信息

Greicius Michael D, Supekar Kaustubh, Menon Vinod, Dougherty Robert F

机构信息

Department of Neurology, Stanford University School of Medicine, Stanford, CA 94304, USA.

出版信息

Cereb Cortex. 2009 Jan;19(1):72-8. doi: 10.1093/cercor/bhn059. Epub 2008 Apr 9.

Abstract

Resting-state functional connectivity magnetic resonance imaging (fcMRI) studies constitute a growing proportion of functional brain imaging publications. This approach detects temporal correlations in spontaneous blood oxygen level-dependent (BOLD) signal oscillations while subjects rest quietly in the scanner. Although distinct resting-state networks related to vision, language, executive processing, and other sensory and cognitive domains have been identified, considerable skepticism remains as to whether resting-state functional connectivity maps reflect neural connectivity or simply track BOLD signal correlations driven by nonneural artifact. Here we combine diffusion tensor imaging (DTI) tractography with resting-state fcMRI to test the hypothesis that resting-state functional connectivity reflects structural connectivity. These 2 modalities were used to investigate connectivity within the default mode network, a set of brain regions--including medial prefrontal cortex (MPFC), medial temporal lobes (MTLs), and posterior cingulate cortex (PCC)/retropslenial cortex (RSC)--implicated in episodic memory processing. Using seed regions from the functional connectivity maps, the DTI analysis revealed robust structural connections between the MTLs and the retrosplenial cortex whereas tracts from the MPFC contacted the PCC (just rostral to the RSC). The results demonstrate that resting-state functional connectivity reflects structural connectivity and that combining modalities can enrich our understanding of these canonical brain networks.

摘要

静息态功能连接磁共振成像(fcMRI)研究在功能性脑成像出版物中所占比例日益增加。这种方法在受试者安静地躺在扫描仪中时,检测自发的血氧水平依赖(BOLD)信号振荡中的时间相关性。尽管已经确定了与视觉、语言、执行处理以及其他感觉和认知领域相关的不同静息态网络,但对于静息态功能连接图谱是否反映神经连接,或者仅仅追踪由非神经伪影驱动的BOLD信号相关性,仍然存在相当大的怀疑。在这里,我们将扩散张量成像(DTI)纤维束成像与静息态fcMRI相结合,以检验静息态功能连接反映结构连接的假设。这两种模式被用于研究默认模式网络内的连接,默认模式网络是一组脑区,包括内侧前额叶皮质(MPFC)、内侧颞叶(MTL)和后扣带回皮质(PCC)/压后皮质(RSC),这些脑区与情景记忆处理有关。利用功能连接图谱中的种子区域,DTI分析揭示了MTL与压后皮质之间强大的结构连接,而来自MPFC 的纤维束与PCC(正好在RSC的前方)相连。结果表明,静息态功能连接反映了结构连接,并且结合多种模式可以丰富我们对这些典型脑网络的理解。

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