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本文引用的文献

1
A unified statistical approach for determining significant signals in images of cerebral activation.一种用于确定大脑激活图像中显著信号的统一统计方法。
Hum Brain Mapp. 1996;4(1):58-73. doi: 10.1002/(SICI)1097-0193(1996)4:1<58::AID-HBM4>3.0.CO;2-O.
2
Partial least squares analysis of neuroimaging data: applications and advances.神经影像数据的偏最小二乘分析：应用与进展
Neuroimage. 2004;23 Suppl 1:S250-63. doi: 10.1016/j.neuroimage.2004.07.020.
3
Unified univariate and multivariate random field theory.统一的单变量和多变量随机场理论。
Neuroimage. 2004;23 Suppl 1:S189-95. doi: 10.1016/j.neuroimage.2004.07.026.
4
Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest.静息状态下功能磁共振成像测量的空间独立成分分析所揭示的功能连接性。
Hum Brain Mapp. 2004 Jul;22(3):165-78. doi: 10.1002/hbm.20022.
5
Connectivity analysis with structural equation modelling: an example of the effects of voxel selection.基于结构方程模型的连通性分析：体素选择效应的一个实例
Neuroimage. 2003 Nov;20(3):1455-67. doi: 10.1016/s1053-8119(03)00394-x.
6
The elusive concept of brain connectivity.难以捉摸的脑连接概念。
Neuroimage. 2003 Jun;19(2 Pt 1):466-70. doi: 10.1016/s1053-8119(03)00112-5.
7
Hierarchical clustering to measure connectivity in fMRI resting-state data.用于测量功能磁共振成像静息态数据连通性的层次聚类
Magn Reson Imaging. 2002 May;20(4):305-17. doi: 10.1016/s0730-725x(02)00503-9.
8
An investigation of functional and anatomical connectivity using magnetic resonance imaging.一项使用磁共振成像对功能和解剖连接性的研究。
Neuroimage. 2002 May;16(1):241-50. doi: 10.1006/nimg.2001.1052.
9
Detection of functional connectivity using temporal correlations in MR images.利用磁共振图像中的时间相关性检测功能连接性。
Hum Brain Mapp. 2002 Apr;15(4):247-62. doi: 10.1002/hbm.10022.
10
A general statistical analysis for fMRI data.功能磁共振成像数据的一般统计分析。
Neuroimage. 2002 Jan;15(1):1-15. doi: 10.1006/nimg.2001.0933.

通过阈值化相关性和奇异值分解比较功能连接性。

Comparing functional connectivity via thresholding correlations and singular value decomposition.

作者信息

Worsley Keith J, Chen Jen-I, Lerch Jason, Evans Alan C

机构信息

Department of Mathematics and Statistics, McGill University, Montreal, Canada.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2005 May 29;360(1457):913-20. doi: 10.1098/rstb.2005.1637.

DOI:10.1098/rstb.2005.1637
PMID:16087436
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1854921/
Abstract

We compare two common methods for detecting functional connectivity: thresholding correlations and singular value decomposition (SVD). We find that thresholding correlations are better at detecting focal regions of correlated voxels, whereas SVD is better at detecting extensive regions of correlated voxels. We apply these results to resting state networks in an fMRI dataset to look for connectivity in cortical thickness.

摘要

我们比较了两种检测功能连接性的常用方法

相关性阈值化和奇异值分解（SVD）。我们发现，相关性阈值化在检测相关体素的焦点区域方面表现更好，而奇异值分解在检测相关体素的广泛区域方面表现更好。我们将这些结果应用于功能磁共振成像（fMRI）数据集中的静息态网络，以寻找皮质厚度的连接性。