Loan Vo1,2, Harish A. Sharma3, Y. Michelle Wang1,4, Dirk B. Walther1, Arthur F. Kramer1,4, William Olivero5
1Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 3Biomedical Imaging Center, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 4Department of Psychology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; 5Carle Foundation Hospital, Urbana, IL, USA
Traditional univariate GLM (General Linear Model) in fMRI analysis has its weakness as not taking into account the relationship between data from different (but adjacent or physiology related) voxels. In this back-pain study, we use classification method i.e multi-voxel pattern analysis to find the brain activation regions involved in pain processing. Using this technique we successfully detect the activations in the motor cortex, insula and thalamus region in the patients with low back pain.