Parkinson's disease-related network topographies characterized with resting state functional MRI.
Parkinson's disease-related network topographies characterized with resting state functional MRI.
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DOI：
10.1002/hbm.23260
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发表时间：
2017-02
影响因子：
4.8
通讯作者：
Eidelberg, David
中科院分区：
文献类型：
--
作者：
Vo, An;Sako, Wataru;Fujita, Koji;Peng, Shichun;Mattis, Paul J.;Skidmore, Frank M.;Ma, Yilong;Ulug, Aziz M.;Eidelberg, David
关键词：
空间协方差映射可用于识别和测量与疾病相关的功能性脑网络的活动。虽然这种方法已被广泛用于脑血流和代谢PET扫描的分析，但尚不清楚它是否可以可靠地应用于静息状态功能MRI（rs-fMRI）数据。在这项研究中，我们提出了一种新的方法，基于独立成分分析（伊卡）来表征特定的网络拓扑结构与帕金森病（PD）。使用从PD和健康受试者的rs-fMRI数据，我们使用伊卡与bootstrap resception，以确定一个PD相关的模式，可靠地区分两组。这种地形，称为fPDRP，是类似于以前的特点，疾病相关的模式，确定使用代谢PET成像。模式识别后，我们验证了fPDRP通过计算其表达在rs-fMRI测试数据的前瞻性情况下的基础上。事实上，fPDRP表达的显着增加被发现在单独的PD组和对照组。除了提供与PET相似程度的组分离外，fPDRP值与运动障碍相关，并随着左旋多巴给药而向正常下降。最后，我们使用这种方法结合神经心理学性能的措施，以确定一个单独的PD认知相关的模式的患者。这种模式，被称为fPDCP，是地形相似的PET衍生的对应物。在训练和测试数据中，fPDCP的受试者分数与执行功能相关。这些研究结果表明，伊卡可用于结合引导响应，以确定和验证稳定的疾病相关的网络拓扑结构在rs-fMRI。
Spatial covariance mapping can be used to identify and measure the activity of disease-related functional brain networks. While this approach has been widely used in the analysis of cerebral blood flow and metabolic PET scans, it is not clear whether it can be reliably applied to resting state functional MRI (rs-fMRI) data. In this study, we present a novel method based on independent component analysis (ICA) to characterize specific network topographies associated with Parkinson’s disease (PD). Using rs-fMRI data from PD and healthy subjects, we used ICA with bootstrap resampling to identify a PD-related pattern that reliably discriminated the two groups. This topography, termed fPDRP, was similar to previously characterized disease-related patterns identified using metabolic PET imaging. Following pattern identification, we validated the fPDRP by computing its expression in rs-fMRI testing data on a prospective case basis. Indeed, significant increases in fPDRP expression were found in separate sets of PD and control subjects. In addition to providing a similar degree of group separation as PET, fPDRP values correlated with motor disability and declined toward normal with levodopa administration. Finally, we used this approach in conjunction with neuropsychological performance measures to identify a separate PD cognition-related pattern in the patients. This pattern, termed fPDCP, was topographically similar to its PET-derived counterpart. Subject scores for the fPDCP correlated with executive function in both training and testing data. These findings suggest that ICA can be used in conjunction with bootstrap resampling to identify and validate stable disease-related network topographies in rs-fMRI.
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影响因子：
3.7
作者：
Göttlich M;Münte TF;Heldmann M;Kasten M;Hagenah J;Krämer UM
通讯作者：
Krämer UM
影响因子：
5.7
作者：
Habeck, Christian;Foster, Norman L.;Stern, Yaakov
通讯作者：
Stern, Yaakov
DOI：
10.1098/rstb.2005.1634
发表时间：
2005-05-29
影响因子：
6.3
作者：
Beckmann, CF;DeLuca, M;Smith, SM
通讯作者：
Smith, SM
DOI：
10.3791/1988
发表时间：
2010-07-24
期刊：
Journal of visualized experiments : JoVE
影响因子：
--
作者：
Habeck, Christian Georg
通讯作者：
Habeck, Christian Georg
影响因子：
8.6
作者：
Isaias, Ioannis U.;Marotta, Giorgio;Antonini, Angelo
通讯作者：
Antonini, Angelo