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睁眼与闭眼状态下的静息态连接差异。

Resting state connectivity differences in eyes open versus eyes closed conditions.

机构信息

The Mind Research Network, Albuquerque, New Mexico.

Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, Nebraska.

出版信息

Hum Brain Mapp. 2019 Jun 1;40(8):2488-2498. doi: 10.1002/hbm.24539. Epub 2019 Feb 5.

Abstract

Functional magnetic resonance imaging data are commonly collected during the resting state. Resting state functional magnetic resonance imaging (rs-fMRI) is very practical and applicable for a wide range of study populations. Rs-fMRI is usually collected in at least one of three different conditions/tasks, eyes closed (EC), eyes open (EO), or eyes fixated on an object (EO-F). Several studies have shown that there are significant condition-related differences in the acquired data. In this study, we compared the functional network connectivity (FNC) differences assessed via group independent component analysis on a large rs-fMRI dataset collected in both EC and EO-F conditions, and also investigated the effect of covariates (e.g., age, gender, and social status score). Our results indicated that task condition significantly affected a wide range of networks; connectivity of visual networks to themselves and other networks was increased during EO-F, while EC was associated with increased connectivity of auditory and sensorimotor networks to other networks. In addition, the association of FNC with age, gender, and social status was observed to be significant only in the EO-F condition (though limited as well). However, statistical analysis did not reveal any significant effect of interaction between eyes status and covariates. These results indicate that resting-state condition is an important variable that may limit the generalizability of clinical findings using rs-fMRI.

摘要

功能磁共振成像数据通常在静息状态下采集。静息态功能磁共振成像(rs-fMRI)非常实用,适用于广泛的研究人群。rs-fMRI 通常在至少三种不同条件/任务中采集,闭眼(EC)、睁眼(EO)或注视物体(EO-F)。多项研究表明,采集到的数据存在显著的与条件相关的差异。在这项研究中,我们比较了在 EC 和 EO-F 条件下采集的大型 rs-fMRI 数据集通过组独立成分分析评估的功能网络连接(FNC)差异,还研究了协变量(如年龄、性别和社会地位评分)的影响。我们的结果表明,任务条件显著影响了广泛的网络;EO-F 时视觉网络与其自身和其他网络的连接增加,而 EC 时听觉和感觉运动网络与其他网络的连接增加。此外,仅在 EO-F 条件下观察到 FNC 与年龄、性别和社会地位的关联具有显著意义(尽管也有限)。然而,统计分析并未显示眼睛状态和协变量之间的交互作用有任何显著影响。这些结果表明,静息状态是一个重要的变量,可能会限制使用 rs-fMRI 得出的临床发现的普遍性。

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