Unique signatures in verbal fluency task performance in schizophrenia and depression
Individuals with SSD and depression exhibit distinct patterns in verbal fluency, with category tasks revealing more robust group differences. Automated fluency analysis offers a scalable approach for differentially detecting cognitive-linguistic impairments across psychiatric populations.
Authors
- Aarush Mehta
- Mark Liberman (ORCID: https://orcid.org/0000-0002-8605-9024)
- Leily Behbehani (ORCID: https://orcid.org/0009-0009-4374-7503)
- Sunny X. Tang (ORCID: https://orcid.org/0000-0002-4001-8120)
- Sarah Berretta (ORCID: https://orcid.org/0009-0008-1112-9017)
- Yan Cong (ORCID: https://orcid.org/0000-0003-4571-9978)
- Amir Hossein Nikzad (ORCID: https://orcid.org/0000-0001-7244-7141)
- Sunghye Cho (ORCID: https://orcid.org/0000-0003-1569-7608)
Institutions
- Feinstein Institute for Medical Research (US)
- The University of Texas at Dallas (US)
- Purdue University West Lafayette (US)
- Yale University (US)
- Donald & Barbara Zucker School of Medicine at Hofstra/Northwell (US)
Publication Details
- Journal
- Schizophrenia Research Cognition
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1016/j.scog.2025.100407
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00