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

    Fingerprint

    Independent component analysis
    Brain
    Chemical activation
    Magnetic Resonance Imaging
    Experiments

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems
    • Signal Processing

    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

    Supervised map ICA : Applications to brain functional MRI. / Matsuyama, Y.; Kawamura, R.

    ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 5 Institute of Electrical and Electronics Engineers Inc., 2002. p. 2259-2263 1201895.

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

    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, 1201895, Institute of Electrical and Electronics Engineers Inc., pp. 2259-2263, 9th International Conference on Neural Information Processing, ICONIP 2002, Singapore, Singapore, 02/11/18. https://doi.org/10.1109/ICONIP.2002.1201895
    Matsuyama Y, Kawamura R. 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. Institute of Electrical and Electronics Engineers Inc. 2002. p. 2259-2263. 1201895 https://doi.org/10.1109/ICONIP.2002.1201895
    Matsuyama, Y. ; Kawamura, R. / Supervised map ICA : Applications to brain functional MRI. ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age. Vol. 5 Institute of Electrical and Electronics Engineers Inc., 2002. pp. 2259-2263
    @inproceedings{fe19837d971f43be8a70fd4d1c77ee7c,
    title = "Supervised map ICA: Applications to brain functional MRI",
    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.",
    author = "Y. Matsuyama and R. Kawamura",
    year = "2002",
    doi = "10.1109/ICONIP.2002.1201895",
    language = "English",
    volume = "5",
    pages = "2259--2263",
    booktitle = "ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age",
    publisher = "Institute of Electrical and Electronics Engineers Inc.",
    address = "United States",

    }

    TY - GEN

    T1 - Supervised map ICA

    T2 - Applications to brain functional MRI

    AU - Matsuyama, Y.

    AU - Kawamura, R.

    PY - 2002

    Y1 - 2002

    N2 - 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.

    AB - 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.

    UR - http://www.scopus.com/inward/record.url?scp=84971668244&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=84971668244&partnerID=8YFLogxK

    U2 - 10.1109/ICONIP.2002.1201895

    DO - 10.1109/ICONIP.2002.1201895

    M3 - Conference contribution

    VL - 5

    SP - 2259

    EP - 2263

    BT - ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

    PB - Institute of Electrical and Electronics Engineers Inc.

    ER -