Predicting the prognosis and treatment responses in individuals with major depressive disorder (MDD) is currently based on trial and error, because some treatments work for some individuals, but not others. Novel predictors of prognosis and treatment response in MDD can add value to the development of targeted treatments and the stratified approaches to improve long-term outcomes of individuals with MDD. This study uses a novel virtual-reality-based measure of blame-related action tendencies and combines this with established predictors of treatment response and prognosis in individuals with MDD.
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Self-rated Quick Inventory of Depressive Symptomatology -16
Timeframe: Four months