Scott James Peltier1,2, Marc G. Berman3,
Yash Shah2, Stephen Kaplan3, John Jonides
1Functional MRI Laboratory,
University of Michigan, Ann Arbor, MI, United States; 2Biomedical
Engineering, University of Michigan, Ann Arbor, MI, United States; 3Psychology,
University of Michigan, Ann Arbor, MI, United States
Multivariate analysis offers an alternative way to analyze functional MRI data, and allows applications such as biofeedback. In this study, we use support vector machines to analyze subjects viewing natural or urban scenes. We demonstrate high accuracy, even when using minimal amount of data.