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This study is investigating if adolescents who have attempted suicide can train their brains to increase happiness via controlling their own brain activity in an MRI scanner.
This study aims to learn how brain functioning impacts suicidal thoughts and behaviors in adolescents with and without depression.
Current assessments for suicidality and psychosis generally rely on self-report survey responses. These assessments can be limited by the information that patients disclose. To mitigate this limitation, FREUD aims to develop a medical device that can detect past or present personal experience with symptoms of suicidality or psychosis using biomarkers of such symptoms. We do this by integrating data from EEG, psychological tasks, and other physiological measures in a machine learning model.
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