NIH R01 · 2025
Computational phenotyping of face expression in early psychosis
PROJECT SUMMARY/ABSTRACT Blunted or flat facial expression is characteristic of schizophrenia (Sz) spectrum disorders and their clinical high risk (CHR) states, and is associated with negative symptoms, social impairment, and poor outcome. Currently, there is no objective test to quantify blunted face expression in Sz. However, with advancements in computational methods, we can begin to operationalize blunted face expression, necessary for both methodological studies and clinical trials, especially as there are no evidence-based treatments. We propose computational analyses of time series of video frame-based estimates of movements of individual face muscles, based on Ekman and Friesen’s…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.