Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8687180 | NeuroImage | 2018 | 16 Pages |
Abstract
The kernel CCA methods are compared with the standard univariate method and with two different local CCA methods that were solved by the SQP algorithm. Results show that SQP is the most efficient algorithm to solve the local constrained CCA problem, and the proposed kernel CCA methods outperformed univariate and local CCA methods in detecting activations for both simulated and real fMRI episodic memory data.
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Authors
Zhengshi Yang, Xiaowei Zhuang, Karthik Sreenivasan, Virendra Mishra, Tim Curran, Richard Byrd, Rajesh Nandy, Dietmar Cordes,