Temporally and spatially constrained ICA of fMRI data analysis.
Temporally and spatially constrained ICA of fMRI data analysis.
复制标题
fMRI 数据分析的时空约束 ICA
DOI：
10.1371/journal.pone.0094211
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Long Z
中科院分区：
文献类型：
--
作者：
Wang Z;Xia M;Jin Z;Yao L;Long Z
约束独立分量分析(CICA)通过将先验信息融入到ICA对比函数中，能够消除标准独立分量分析中存在的阶模糊性，并提取期望的独立分量。然而，当前的CICA方法产生的约束只基于一种类型的先验信息(时间/空间)，这可能会增加CICA对先验信息准确性的依赖。为了提高CICA的稳健性，减少先验信息的准确性对CICA的影响，提出了一种时间和空间约束的ICA(TSCICA)方法。使用模拟的fMRI数据对所提出的方法进行了测试，并将其应用于13个执行运动任务的受试者的真实fMRI实验中。此外，还与ICA方法、时间CICA(TCICA)方法和空间CICA(SCICA)方法进行了性能比较。仿真和实际fMRI数据的结果表明，TSCICA在抗噪能力方面优于TCICA、SCICA和ICA。此外，与TCICA/SCICA方法相比，TSCICA方法对先验时间/空间信息具有更好的稳健性。
Constrained independent component analysis (CICA) is capable of eliminating the order ambiguity that is found in the standard ICA and extracting the desired independent components by incorporating prior information into the ICA contrast function. However, the current CICA method produces constraints that are based on only one type of prior information (temporal/spatial), which may increase the dependency of CICA on the accuracy of the prior information. To improve the robustness of CICA and to reduce the impact of the accuracy of prior information on CICA, we proposed a temporally and spatially constrained ICA (TSCICA) method that incorporated two types of prior information, both temporal and spatial, as constraints in the ICA. The proposed approach was tested using simulated fMRI data and was applied to a real fMRI experiment using 13 subjects who performed a movement task. Additionally, the performance of TSCICA was compared with the ICA method, the temporally CICA (TCICA) method and the spatially CICA (SCICA) method. The results from the simulation and from the real fMRI data demonstrated that TSCICA outperformed TCICA, SCICA and ICA in terms of robustness to noise. Moreover, the TSCICA method displayed better robustness to prior temporal/spatial information than the TCICA/SCICA method.
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影响因子：
7.6
作者：
Li YO;Adali T;Calhoun VD
通讯作者：
Calhoun VD
影响因子：
4.8
作者：
Lin, Qiu-Hua;Liu, Jingyu;Zheng, Yong-Rui;Liang, Hualou;Calhoun, Vince D.
通讯作者：
Calhoun, Vince D.
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
影响因子：
7.8
作者：
Hyvärinen, A;Oja, E
通讯作者：
Oja, E
影响因子：
5.7
作者：
Genovese, CR;Lazar, NA;Nichols, T
通讯作者：
Nichols, T