Optimizing the performance of local canonical correlation analysis in fMRI using spatial constraints.
Optimizing the performance of local canonical correlation analysis in fMRI using spatial constraints.
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DOI：
10.1002/hbm.21388
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发表时间：
2012-11
影响因子：
4.8
通讯作者：
Nandy R
中科院分区：
文献类型：
--
作者：
Cordes D;Jin M;Curran T;Nandy R
近年来，局部自适应统计方法在功能磁共振成像研究中的优势已经显现出来，因为这些方法更擅长在嘈杂的环境中检测大脑激活。一种这样的方法是局部典型相关分析（CCA），其调查一组相邻体素而不是查看单个体素时间过程。使用适当的检验统计量的值作为激活的度量。为方便起见，通常将该值指定给中心体素。没有约束的方法容易产生伪影，特别是在局部强激活区域。为了弥补这些不足，在CCA的灵敏度和特异性的不同空间限制的影响进行了研究。在情景记忆任务中，受约束的CCA（cCCA）检测激活模式的能力进行了研究。这项研究展示了如何通过cCCA分析任何感兴趣的任意对比度，以及如何使用非参数方法计算针对感兴趣对比度优化的准确P值。结果表明，一些先进的cCCA方法检测激活模式的增加高达20%，从模拟和真实的fMRI数据的ROC曲线测量。
The benefits of locally adaptive statistical methods for fMRI research have been shown in recent years, as these methods are more proficient in detecting brain activations in a noisy environment. One such method is local canonical correlation analysis (CCA), which investigates a group of neighboring voxels instead of looking at the single voxel time course. The value of a suitable test statistic is used as a measure of activation. It is customary to assign the value to the center voxel for convenience. The method without constraints is prone to artifacts, especially in a region of localized strong activation. To compensate for these deficiencies, the impact of different spatial constraints in CCA on sensitivity and specificity are investigated. The ability of constrained CCA (cCCA) to detect activation patterns in an episodic memory task has been studied. This research shows how any arbitrary contrast of interest can be analyzed by cCCA and how accurate P-values optimized for the contrast of interest can be computed using nonparametric methods. Results indicate an increase of up to 20% in detecting activation patterns for some of the advanced cCCA methods, as measured by ROC curves derived from simulated and real fMRI data.
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影响因子：
2
作者：
Polzehl, J;Spokoiny, V
通讯作者：
Spokoiny, V
影响因子：
5.7
作者：
Friman, O;Borga, M;Knutsson, H
通讯作者：
Knutsson, H
影响因子：
3.3
作者：
Nandy, RR;Cordes, D
通讯作者：
Cordes, D
影响因子：
5.7
作者：
Harrison LM;Penny W;Ashburner J;Trujillo-Barreto N;Friston KJ
通讯作者：
Friston KJ
DOI：
10.1109/34.879790
发表时间：
2000-10-01
影响因子：
23.6
作者：
Phillips, PJ;Moon, H;Rauss, PJ
通讯作者：
Rauss, PJ