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静息状态下与背侧和腹侧默认模式网络的分离性反相关模式。

Dissociated patterns of anti-correlations with dorsal and ventral default-mode networks at rest.

作者信息

Chen Jingyuan E, Glover Gary H, Greicius Michael D, Chang Catie

机构信息

Department of Radiology, Stanford University, Stanford, California, 94305.

Department of Electrical Engineering, Stanford University, Stanford, California, 94305.

出版信息

Hum Brain Mapp. 2017 May;38(5):2454-2465. doi: 10.1002/hbm.23532. Epub 2017 Feb 2.

Abstract

Previous studies of resting state functional connectivity have demonstrated that the default-mode network (DMN) is negatively correlated with a set of brain regions commonly activated during goal-directed tasks. However, the location and extent of anti-correlations are inconsistent across different studies, which has been posited to result largely from differences in whether or not global signal regression (GSR) was applied as a pre-processing step. Notably, coordinates of seed regions-of-interest defined within the posterior cingulate cortex (PCC)/precuneus, an area often employed to study functional connectivity of the DMN, have been inconsistent across studies. Taken together with recent observations that the DMN contains functionally heterogeneous subdivisions, it is presently unclear whether these seeds map to different DMN subnetworks, whose patterns of anti-correlation may differ. If so, then seed location may be a non-negligible factor that, in addition to differences in preprocessing steps, contributes to the inconsistencies reported among published studies regarding DMN correlations/anti-correlations. In this study, they examined anti-correlations of different subnetworks within the DMN during rest using both seed-based and point process analyses, and discovered that: (1) the ventral branch of the DMN (vDMN) yielded significantly weaker anti-correlations than that associated with the dorsal branch of the DMN (dDMN); (2) vDMN anti-correlations introduced by GSR were distinct from dDMN anti-correlations; (3) PCC/precuneus seeds employed by earlier studies mapped to different DMN subnetworks, which may explain some of the inconsistency (in addition to preprocessing steps) in the reported DMN anti-correlations. Hum Brain Mapp 38:2454-2465, 2017. © 2017 Wiley Periodicals, Inc.

摘要

先前关于静息态功能连接性的研究表明,默认模式网络(DMN)与一组在目标导向任务中通常被激活的脑区呈负相关。然而,不同研究中反相关的位置和范围并不一致,这在很大程度上被认为是由于是否应用全局信号回归(GSR)作为预处理步骤的差异所致。值得注意的是,在扣带回后部(PCC)/楔前叶内定义的感兴趣种子区域的坐标,这一常用于研究DMN功能连接性的区域,在不同研究中也不一致。结合最近的观察结果,即DMN包含功能异质性的亚网络,目前尚不清楚这些种子是否映射到不同的DMN子网,其反相关模式可能不同。如果是这样,那么种子位置可能是一个不可忽视的因素,除了预处理步骤的差异外,还导致了已发表研究中关于DMN相关性/反相关性的不一致报告。在本研究中,他们使用基于种子和点过程分析来研究静息状态下DMN内不同子网的反相关性,并发现:(1)DMN的腹侧分支(vDMN)产生的反相关性明显弱于与DMN背侧分支(dDMN)相关的反相关性;(2)GSR引入的vDMN反相关性与dDMN反相关性不同;(3)早期研究中使用的PCC/楔前叶种子映射到不同的DMN子网,这可能解释了所报告的DMN反相关性中的一些不一致(除了预处理步骤)。《人类大脑图谱》38:2454 - 2465,2017年。© 2017威利期刊公司。

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