1. A method for identifying neuropsychiatric disease, comprising: acquiring functional neuroimaging data of a patient; and applying a classifier for identifying the neuropsychiatric disease to the acquired functional neuroimaging data to determine whether the patient has the neuropsychiatric disease, wherein the classifier is generated by: acquiring functional neuroimaging training data of patients known to have the neuropsychiatric disease and patients known not to have the neuropsychiatric disease; registering the acquired functional neuroimaging training data to an atlas of the brain; generating a discriminative mask based on the registered functional neuroimaging training data; applying the generated discriminative mask to the registered functional neuroimaging training data to remove unwanted information; differentiating between clusters of neural activity and isolated regions of neural activity from within the masked functional neuroimaging training data; emphasizing the clusters of neural activity over the isolated regions of neural activity; and generating the classifier for identifying neuropsychiatric disease based on the cluster-emphasized functional neuroimaging training data.