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本文引用的文献

1
A longitudinal model for functional connectivity networks using resting-state fMRI.基于静息态 fMRI 的功能连接网络的纵向模型。
Neuroimage. 2018 Sep;178:687-701. doi: 10.1016/j.neuroimage.2018.05.071. Epub 2018 Jun 4.
2
Connectivity dynamics in typical development and its relationship to autistic traits and autism spectrum disorder.典型发育中的连通性动态及其与自闭症特征和自闭症谱系障碍的关系。
Hum Brain Mapp. 2018 Aug;39(8):3127-3142. doi: 10.1002/hbm.24064. Epub 2018 Mar 30.
3
Dynamic effective connectivity in resting state fMRI.静息态 fMRI 中的动态有效连接
Neuroimage. 2018 Oct 15;180(Pt B):594-608. doi: 10.1016/j.neuroimage.2017.11.033. Epub 2017 Nov 20.
4
Connectopic mapping with resting-state fMRI.静息态 fMRI 连接拓扑图绘制。
Neuroimage. 2018 Apr 15;170:83-94. doi: 10.1016/j.neuroimage.2017.06.075. Epub 2017 Jun 27.
5
Improving the Test-Retest Reliability of Resting State fMRI by Removing the Impact of Sleep.通过消除睡眠影响提高静息态功能磁共振成像的重测信度
Front Neurosci. 2017 May 8;11:249. doi: 10.3389/fnins.2017.00249. eCollection 2017.
6
Decreased hemispheric connectivity and decreased intra- and inter- hemisphere asymmetry of resting state functional network connectivity in schizophrenia.精神分裂症患者半球间连接减少,静息状态功能网络连接的半球内和半球间不对称性降低。
Brain Imaging Behav. 2018 Jun;12(3):615-630. doi: 10.1007/s11682-017-9718-7.
7
Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks.静息态功能磁共振成像:静息态连接性分析及静息态网络方法综述
Neuroradiol J. 2017 Aug;30(4):305-317. doi: 10.1177/1971400917697342. Epub 2017 Mar 29.
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EEG Signatures of Dynamic Functional Network Connectivity States.动态功能网络连接状态的脑电图特征
Brain Topogr. 2018 Jan;31(1):101-116. doi: 10.1007/s10548-017-0546-2. Epub 2017 Feb 22.
9
Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures.使用静态和动态连接性测量方法对精神分裂症患者的脑磁图和功能磁共振成像数据进行多模态分类
Front Neurosci. 2016 Oct 19;10:466. doi: 10.3389/fnins.2016.00466. eCollection 2016.
10
Artifact removal in the context of group ICA: A comparison of single-subject and group approaches.独立成分分析(ICA)组背景下的伪迹去除:单受试者方法与组方法的比较。
Hum Brain Mapp. 2016 Mar;37(3):1005-25. doi: 10.1002/hbm.23086. Epub 2015 Dec 21.

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.

DOI:10.1002/hbm.24539
PMID:30720907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6865559/
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。