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Psychometric analysis of speech-based digital biomarkers of alogia symptoms in treatment resistant schizophrenia: Comparison with clinical ratings of expressive negative symptoms.

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Bibliographic Details
Title: Psychometric analysis of speech-based digital biomarkers of alogia symptoms in treatment resistant schizophrenia: Comparison with clinical ratings of expressive negative symptoms.
Authors: Lindenmayer JP; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States of America. Electronic address: jean-pierre.lindenmayer@nki.rfmh.org., Khan A; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States of America; Manhattan Psychiatric Center, New York, NY, United States of America., Insel BJ; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States of America., Kothare H; Modality.AI, Inc., San Francisco, CA, United States of America., Neumann M; Modality.AI, Inc., San Francisco, CA, United States of America., Nadim D; Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, United States of America., Mishkind R; New York University, New York, NY, United States of America., Ramanarayanan V; Modality.AI, Inc., San Francisco, CA, United States of America; University of California - San Francisco, San Francisco, CA, United States of America.
Source: Schizophrenia research [Schizophr Res] 2026 May 28; Vol. 295, pp. 110-119. Date of Electronic Publication: 2026 May 28.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Publisher B. V Country of Publication: Netherlands NLM ID: 8804207 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2509 (Electronic) Linking ISSN: 09209964 NLM ISO Abbreviation: Schizophr Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-2509
DOI:10.1016/j.schres.2026.05.018