An improved multi-objective optimization-based CICA method with data-driver temporal reference for group fMRI data analysis.
Group independent component analysis (GICA) has been successfully applied to study multi-subject functional magnetic resonance imaging (fMRI) data, and the group independent component (GIC) represents the commonality of all subjects in the group. However, some studies show that the performance of GI...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 4; pp. 683 - 695 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2018
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| Acceso en línea: | Ver este registro en EBSCOhost |