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An Introduction To Anatomical ROI-based fMRI Classification Analysis by FridRachman is a document available to read on EtoBox.
Modern cognitive neuroscience often thinks at the interface between anatomy and function. A flexible and sensitive way to test such hypotheses is to evaluate the pattern of activity in the specific structures using multivariate classification techniques. This paper is an introduction to applying classification methods to functional magnetic resonance imaging (fMRI) data, particularly for region of interest (ROI) based hypotheses.
- Author
- FridRachman
- Language
- EN