Inferring Cognition from fMRI Brain Images

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Inferring Cognition from fMRI Brain Images
Abstract. Over the last few years, functional Magnetic Resonance Imaging (fMRI) has emerged as a new and powerful method to map the cognitive states of a human subject to specific functional areas of the subject brain. Although fMRI has been widely used to determine average activation in different brain regions, the problem of automatically decoding the cognitive state from instantaneous brain activations has received little attention. In this paper, we study this prediction problem on a complex time-series dataset that relates fMRI data (brain images) with the corresponding cognitive states of the subjects while watching three 20 minute movies. This work describes the process we used to reduce the extremely high-dimensional feature space and a comparison of the models used for prediction. To solve the prediction task we explored a standard linear model frequently used by neuroscientists, as well as a k-nearest neighbor model, that now are the state-of-art in this area. Finally, we p...
Diego Sona, Sriharsha Veeramachaneni, Emanuele Oli
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Authors Diego Sona, Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo Avesani
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