Reliable, valid, and efficient measurement of internalizing disorders (specifically, Major Depressive Disorder and Obsessive-Compulsive Disorder) is critical if we are to gauge whether patients are improving or not and why. With few exceptions, previous work in objective measurement is limited to detecting internalizing disorders and fails to address their severity, change with treatment, or neural substrates. In this seminar, I first present what my interdisciplinary team has learned about multimodal and interpersonal indices of depression; then present our work in multimodal measurement of OCD in patients undergoing deep brain stimulation for treatment-resistant OCD; and close with implications for precision and computational psychiatry.

Dr. Jeffrey Cohn is a professor of Psychology, Psychiatry, and Intelligent Systems at the University of Pittsburgh, a member of the Clinical Psychology Program at Pittsburgh, and chief scientist at Deliberate.ai. He leads inter-disciplinary efforts to develop advanced methods of automatic analysis and synthesis of facial expression, body movement, and prosody and applies those tools to research and practice in human emotion, nonverbal communication, and computational psychiatry. His research has been supported by grants from the U.S. National Institutes of Health and the National Science Foundation among other sponsors.

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https://us06web.zoom.us/j/81487454210?pwd=bXJJM1QzbXpwRkxzcHN0NGhlQzdMUT09

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