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However, very few studies provide clinically informative measures to aid in decision-making and resource allocation. Head-to-head comparison of neuroimaging-based multivariate classifiers is an essential first step to promote translation of these tools to clinical practice. Gray matter (GM) and white matter images were used as inputs into a support vector machine to classify patients and control subjects. This will not only promote the search for an optimum diagnostic tool but also aid in the translation of neuroimaging to clinical use.