There is a need for biomarkers that reflect the pathophysiological processes underlying depression and anxiety. These biomarkers should also be interpretable and provide clinically actionable insights. In this talk, I will present a technique to quantify subject-level dysfunction of six brain circuits implicated in depression using functional magnetic resonance imaging obtained during rest and tasks. I will show that these measures of brain circuit dysfunction can be used to differentiate biological subtypes of patients with different symptoms, cognitive deficits, and response to various treatments. I will end by discussing the implications of these findings for novel interventions targeting specific brain circuit dysfunctions.
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