Multivariate Statistical Analysis of Brain Images from Control Subjects and Patients with Alzheimer’s and Obsessive-Compulsive Disorder

• Nelson A. O. Aguiar Centro Universitário da FEI
• Sérgio H. A. Oliveira Centro Universitário da FEI
• Carlos E. Thomaz Centro Universitário da FEI

Abstract

This paper presents a comparative study of MR brain images between controls and subjects previously diagnosed with Alzheimer, and Obsessive-compulsive disorder. Using these MR images, we investigate a multivariate statistical framework proposed recently which is composed of Principal Component Analysis (PCA) and Maximum uncertainty Linear Discriminant Analysis (MLDA) methods. Our experimental results have shown that this multivariate framework extracts relevant changes between the groups. We discuss also the benefit of using multivariate statistical models in the medical field leading clinicians to an automated detection of abnormalities that may be beneficial for understanding such brain disorders.

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