Supervised map ICA: Applications to brain functional MRI

Y. Matsuyama, R. Kawamura

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages2259-2263
    Number of pages5
    Volume5
    ISBN (Electronic)9810475241, 9789810475246
    DOIs
    Publication statusPublished - 2002
    Event9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
    Duration: 2002 Nov 182002 Nov 22

    Other

    Other9th International Conference on Neural Information Processing, ICONIP 2002
    CountrySingapore
    CitySingapore
    Period02/11/1802/11/22

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems
    • Signal Processing

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  • Cite this

    Matsuyama, Y., & Kawamura, R. (2002). Supervised map ICA: Applications to brain functional MRI. In ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age (Vol. 5, pp. 2259-2263). [1201895] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONIP.2002.1201895