Knowledge Discovery from fMRI Brain Images by Logical Regression Analysis

Authors:
Hiroshi Tsukimoto;Mitsuru Kakimoto;Chie Morita;Yoshiaki Kikuchi;Eiko Hatakeyama;Yoshifumi Miyazaki
Affiliations:
-;-;-;-;-;-
Venue:
DS '00 Proceedings of the Third International Conference on Discovery Science
Year:
2000

Citing 4
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Abstract

This paper presents knowledge discovery from fMRI brain images. The algorithm for the discovery is the Logical Regression Analysis, which consists of two steps. The first step is regression analysis. The second step is rule extraction from the regression formula obtained by the regression analysis. In this paper, we use nonparametric regression analysis as a regression analysis, since there are not sufficient data in knowledge discovery from fMRI brain images. The algorithm has been applied to two experimental tasks, finger tapping and calculation. Experimental results show that the algorithm has rediscovered well-known facts and discovered new facts.