Automated speech and language markers of longitudinal changes in psychosis symptoms.

ABSTRACT: We sought to evaluate the ability of automated speech and language features to longitudinally track fluctuations in the major psychosis domains: Thought Disorder, Negative Symptoms, and Positive Symptoms. Sixty-six participants with psychotic disorders were assessed soon after inpatient admission, at discharge, and at 3- and 6-months. Psychosis symptoms were measured with semi-structured interviews and standardized scales. Recordings were collected from paragraph reading, fluency, picture description, and open-ended tasks. Relationships between psychosis symptoms and 357 automated speech and language features were analyzed using a single component score and as individual features, using linear mixed models. We found that all three domains demonstrated significant longi

SUBMITTER: Tang SX 

PROVIDER: S-EPMC12173942 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature