 Rationale: The current study is designed to evaluate the predictive value of early brain changes related to antidepressant treatment to classify remitters and non-remitters based on their clinical response at 12 weeks of treatment. Traditionally, the neuroimaging studies have used group comparisons of pretreatment scans for treatment outcome prediction, which has limited clinical value to make predictions at the individual level. Machine learning methods can provide prediction at the individual level, which can be prospectively used in clinical practice. As the meta-analysis of clinical trials indicate that early clinical response is a reliable predictor of later treatment outcome11,12, our study will examine brain scans at both pretreatment and early post-treatment 2 weeks times. 