Classification of functional brain images with a spatio-temporal dissimilarity map

Svetlana V. Shinkareva, Hernando C. Ombao, Bradley P. Sutton, Aprajita Mohanty, Gregory A. Miller

Research output: Contribution to journalArticlepeer-review


Classification of subjects into predefined groups, such as patient vs. control, based on their functional MRI data is a potentially useful procedure for clinical diagnostic purposes. This paper presents an automated method for classifying subjects into groups based on their functional MRI data. The proposed methodology provides general framework using preprocessed time series for the whole brain volume. Using a training set of two groups of subjects, the new methodology identifies spatio-temporal features that distinguish the groups and uses these features to categorize new subjects. We demonstrate the method using simulations and a clinical application that classifies individuals into schizotypy and control groups.

Original languageEnglish (US)
Pages (from-to)63-71
Number of pages9
Issue number1
StatePublished - Oct 15 2006


  • Classification
  • fMRI
  • Functional neuroimaging
  • RV-coefficient

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Neurology


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