Abstract #1621

Multivariate Discrimination in Natural & Urban Scene Viewing

Scott James Peltier^1,2, 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.