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Abstract #1623

Class-Wise Contributions to Spatio-Temporal SVM Classification of fMRI Data

Rainer Boegle1,2, Carolin Cyran3, Stefan Glasauer1,2, Marianne Dieterich2,3

1Center for Sensorimotor Research, Ludwig-Maximilians University, Munich, Germany; 2Integrated Center for Research & Treatment of Vertigo, Ludwig-Maximilians University (IFBLMU), Munich, Germany; 3Department of Neurology, Ludwig-Maximilians-University, Munich, Germany

Nowadays it is assumed that most brain functions involve a network of cortical areas. Thus it should be anticipated that the temporal dynamics of the task-related BOLD responses of the respective areas may vary. Previous studies used spatio-temporal support vector classification to produce functional brain maps revealing responses discriminating between tasks (''discrimination maps''), without having to assume a model for the task related BOLD response. Building on these we present a method for determining the class-wise contributions to these brain maps which can reveal the class(task)-wise similarities in addition to the class(task)-wise differences revealed by the ''discrimination maps''.