Supervised map ICA: applications to brain functional MRI
説明
This paper gives a method to control or organize itself an activation pattern of fMRI maps obtained by ICA (independent component analysis). The presented method uses an additional term to the convex divergence's gradient. The following merits are observed: (i) Prior knowledge can be effectively used so that obtained activation patterns properly reflect the task on the subject. (ii) Difficulty of finding the appropriate activation pattern due to the permutation can be avoided. Experiments on brain fMRI maps for visual cortices are tried and reported.
収録刊行物
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- Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.
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Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. 2259-2263 vol.5, 2002-01-01
IEEE