 Primary hypothesis: By employing a machine learning method to pretreatment and 2 week post-treatment fMRI data, we hypothesize that it is possible to predict with significant accuracy whether an individual patient with MDD could be classified as remitter or non-remitter at the end of 12 weeks of antidepressant treatment. 