Patient classification as an outlier detection problem: An application of the One-Class Support Vector Machine

► It is possible to define a “normality boundary” based on patterns of fMRI from healthy subjects. ► Most severely depressed patients should lie outside this boundary. ► The amount of departure from the “normality boundary” is related to the severity of the depression.