Detecting Discriminative Functional MRI . . .

Abstract

INTRODUCTION The detection of relationships between human brain structures and brain functions (i.e., human brain mapping) has been recognized as one of the main goals of the Human Brain Project [1]. Several approaches have been used in this problem domain [2]. One of the approaches used in functional brain mapping is to seek associations between brain activation patterns and tasks performed. A current obstacle in this type of analysis is the lack of methods to automatically classify such patterns (i.e., activation regions) and quantitatively measure levels of their similarity. In this paper we propose a technique for detecting and classifying functional Magnetic Resonance Imaging (fMRI) activation patterns. More specifically, we seek to discover brain activation patterns that are associated with a particular disease. * This work was supported in part by the NSF (IIS-0083423) and the Pennsylvania Department of Health. Funding parties specifically disclaim re