Computerized assessments of emotional expression and emotional reactivity predict negative symptoms in individuals at clinical high-risk for psychosis.

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Bibliographic Details
Title: Computerized assessments of emotional expression and emotional reactivity predict negative symptoms in individuals at clinical high-risk for psychosis.
Authors: Bertrand CE; Department of Psychology, Northwestern University, Evanston, IL, USA., Pokorny VJ; Department of Psychology, Northwestern University, Evanston, IL, USA., Gold JM; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA., Waltz JA; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA., Schiffman J; Department of Psychological Science, University of California, Irvine, Irvine, CA, USA., Ellman LM; Department of Psychology, Temple University, Philadelphia, PA, USA., Strauss GP; Department of Psychology, University of Georgia, Athens, GA, USA., Walker EF; Department of Psychology, Emory University, Atlanta, GA, USA., Woods SW; Department of Psychiatry, Yale University, New Haven, CT, USA., Powers AR; Department of Psychiatry, Yale University, New Haven, CT, USA., Kenney J; Department of Psychiatry, Yale University, New Haven, CT, USA., Corlett PR; Department of Psychiatry, Yale University, New Haven, CT, USA., Silverstein SM; Departments of Psychiatry, Neuroscience, and Ophthalmology, University of Rochester Medical Center, Rochester, NY, USA., Mittal VA; Department of Psychology, Northwestern University, Evanston, IL, USA.
Source: Psychological medicine [Psychol Med] 2026 Jun 10; Vol. 56, pp. e184. Date of Electronic Publication: 2026 Jun 10.
Publication Type: Journal Article
Journal Info: Publisher: Cambridge University Press Country of Publication: England NLM ID: 1254142 Publication Model: Electronic Cited Medium: Internet ISSN: 1469-8978 (Electronic) Linking ISSN: 00332917 NLM ISO Abbreviation: Psychol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1469-8978
DOI:10.1017/S0033291726104826