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Behavioral ACtivation (BA) for Anhedonic adolescents

BA is focused on helping depressed individuals gradually and systematically re-engage with sources of reward and positive reinforcement in their environment, and may be particularly effective at improving anhedonic symptoms. An ongoing clinical trial is examining reward-related predictors and mechanisms of change in BA for adolescents with prominent anhedonic symptoms.


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Leveraging Machine learning for PErsonalized PRediction of Treatment Response

Greater knowledge of variables predicting better or worse treatment response prior to the start of treatment may have important clinical implications regarding which interventions are best suited for whom, thus informing treatment selection. Our more recent research is aimed at developing actionable, algorithm-guided treatment recommendations to improve outcomes for depressed individuals by matching them to the optimal intervention. We are currently conducting this research within the context of randomized clinical trials and within real-world psychiatric clinics.


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PRedicting the onset of depression in at-risk youth

Depression rates surge during adolescence, in particular for females. We are launching a new study aimed at predicting first onset of depression in at-risk adolescents on the basis of a multimodal assessment (ecological momentary assessment, fMRI and behavioral tasks) of putative endophenotypes of depression risk.


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Cognitive Behavioral Therapy (CBT) for Depressed Adolescent Girls

Within a trial of CBT for depressed adolescent girls, we are examining the extent to which teens acquire and utilize different cognitive and behavioral emotion regulation skills. As well, we are examining neural (EEG/ERP) predictors and mechanisms of change in CBT. This work is being conducted in collaboration with Dr. Randy Auerbach at Columbia University.