Atlas-based analysis of resting-state functional connectivity: evaluation for reproducibility and multi-modal anatomy-function correlation studies.
Atlas-based analysis of resting-state functional connectivity: evaluation for reproducibility and multi-modal anatomy-function correlation studies.
复制标题
DOI：
10.1016/j.neuroimage.2012.03.078
复制
发表时间：
2012-07-02
期刊：
影响因子：
5.7
通讯作者：
Mori, Susumu
中科院分区：
文献类型：
--
作者：
Faria, Andreia V.;Joel, Suresh E.;Zhang, Yajing;Oishi, Kenichi;van Zjil, Peter C. M.;Miller, Michael I.;Pekar, James J.;Mori, Susumu
静息状态功能连接MRI （rsfc-MRI）揭示了关于大脑功能组织的丰富信息，但对定量图像分析提出了独特的挑战，主要涉及大量低信噪比的体素。在这项研究中，我们测试了将整个大脑预先空间分割成不同结构单元的想法，以逐个结构而不是逐个体素的方式进行分析。该分析基于图谱包裹，可能提供增强的信噪比和可重复性，并可作为跨模态和跨学科定量分析的通用解剖框架。我们使用大变形微分对称度量映射（LDDMM）和可变形脑图谱将每个大脑包裹成185个区域。为了研究跨主题分析的准确性，我们计算了20名参与者的包裹间相关性，每个参与者都被扫描了两次，以及被试之间和被试内部的连接模式的一致性，以及会话间的可重复性。我们报告了与先前研究结果一致的显著的包裹间相关性，以及高测试-重测试可靠性，这是比较临床人群时的重要考虑因素。作为交叉模态分析的一个例子，与解剖连接性的相关性也被检查。
Resting state functional connectivity MRI (rsfc-MRI) reveals a wealth of information about the functional organization of the brain, but poses unique challenges for quantitative image analysis, mostly related to the large number of voxels with low signal-to-noise ratios. In this study, we tested the idea of using a prior spatial parcellation of the entire brain into various structural units, to perform an analysis on a structure-by-structure, rather than voxel-by-voxel, basis. This analysis, based upon atlas parcels, potentially offers enhanced SNR and reproducibility, and can be used as a common anatomical framework for cross-modality and cross-subject quantitative analysis. We used Large Deformation Diffeomorphic Metric Mapping (LDDMM) and a deformable brain atlas to parcel each brain into 185 regions. To investigate the precision of the cross-subject analysis, we computed inter-parcel correlations in 20 participants, each of whom were scanned twice, as well as the consistency of the connectivity patterns inter- and intra-subject, and the intersession reproducibility. We report significant inter-parcel correlations consistent with previous findings, and high test-retest reliability, an important consideration when the goal is to compare clinical populations. As an example of the cross-modality analysis, correlation with anatomical connectivity is also examined.
登录
查看更多内容
DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.3
作者：
Achard, S;Salvador, R;Bullmore, ET
通讯作者：
Bullmore, ET
影响因子：
4.8
作者：
Hampson, M;Peterson, BS;Gore, JC
通讯作者：
Gore, JC
DOI：
10.1073/pnas.0308627101
发表时间：
2004-03-30
影响因子：
11.1
作者：
Greicius, MD;Srivastava, G;Menon, V
通讯作者：
Menon, V
DOI：
10.1073/pnas.0811168106
发表时间：
2009-02-10
影响因子：
11.1
作者：
Honey, C. J.;Sporns, O.;Hagmann, P.
通讯作者：
Hagmann, P.