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Explore how computational methods can revolutionize psychiatric diagnosis and treatment through objective measurement of social communication behaviors in this keynote webinar. Learn about the development of natural language processing and computer vision techniques to quantify language patterns, facial expressions, and dyadic social communication in schizophrenia and clinical high-risk states. Discover how Dr. Cheryl M. Corcoran from Mount Sinai's Icahn School of Medicine applies automated acoustic and face processing technologies to address the critical need for objective behavioral measures in psychiatry, moving beyond traditional subjective clinical ratings. Examine the breakdown of social communication in schizophrenia, including disruptions in turn-taking, facial expression alignment, and semantic coordination that lead to social isolation and functional difficulties. Understand the natural ecology of human communication from parent-infant interactions to modern telepsychiatry platforms, and how computational phenotyping can capture the complex synchronization required for successful interpersonal communication. Gain insights into cutting-edge research methodologies that combine biostatistics, neuroimaging, and digital biomarkers to advance our understanding of psychotic disorders and their risk states.
