Measurement of schizophrenia symptoms through speech analysis from PANSS interview recordings
A large sample of PANSS recordings was successfully processed using open source methods for phenotyping and strong relationships between speech characteristics and symptoms from these recordings were observed. These observations, consistent with existing understandings of speech-based manifestations of schizophrenia, highlight the potential use of patient speech collected passively during clinical interactions for digital phenotyping and symptom assessment. Implications for clinical practice, drug development, and progress towards precision psychiatry are discussed.
Authors
- Georgios Efstathiadis
- Tejal Patel (ORCID: https://orcid.org/0000-0003-3002-8306)
- Colin Sauder (ORCID: https://orcid.org/0000-0002-0151-5191)
- Inder Kaul
- Stephen K. Brannan (ORCID: https://orcid.org/0000-0003-0922-5970)
- Anzar Abbas (ORCID: https://orcid.org/0000-0002-6983-7779)
- Alan Kott (ORCID: https://orcid.org/0009-0004-5015-5163)
- Vijay Yadav (ORCID: https://orcid.org/0000-0003-2801-9005)
- Isaac R. Galatzer‐Levy (ORCID: https://orcid.org/0000-0003-1864-064X)
- Michelle Worthington
- Emanuel Pintilii
Institutions
- Google (United States) (US)
- Center for Brooklyn History (US)
- UNSW Sydney (AU)
- Yale University (US)
- Bristol-Myers Squibb (United States) (US)
- "Ion Ionescu de la Brad" Iasi University of Life Sciences (RO)
- New York University (US)
- Brooklyn College (US)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-06-24
- DOI
- https://doi.org/10.3389/fpsyt.2025.1571647
- Citations
- 5
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 7.36