Supervised map ICA: Applications to brain functional MRI

Y. Matsuyama; R. Kawamura

doi:10.1109/ICONIP.2002.1201895

Supervised map ICA: Applications to brain functional MRI

Y. Matsuyama, R. Kawamura

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	2259-2263
ページ数	5
巻	5
ISBN（電子版）	9810475241, 9789810475246
DOI	https://doi.org/10.1109/ICONIP.2002.1201895
出版ステータス	Published - 2002
イベント	9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore 継続期間: 2002 11月 18 → 2002 11月 22

Other

Other	9th International Conference on Neural Information Processing, ICONIP 2002
国/地域	Singapore
City	Singapore
Period	02/11/18 → 02/11/22

ASJC Scopus subject areas

コンピュータネットワークおよび通信
情報システム
信号処理

文献へのアクセス

10.1109/ICONIP.2002.1201895

他のファイルとリンク

引用スタイル

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

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

@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",

note = "9th International Conference on Neural Information Processing, ICONIP 2002 ; Conference date: 18-11-2002 Through 22-11-2002",

}

TY - GEN

T1 - Supervised map ICA

T2 - 9th International Conference on Neural Information Processing, ICONIP 2002

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

AN - SCOPUS:84971668244

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.

Y2 - 18 November 2002 through 22 November 2002

ER -

Supervised map ICA: Applications to brain functional MRI

抄録

Other

ASJC Scopus subject areas

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル