Using latent profile analyses to classify subjects with anhedonia based on reward-related measures obtained in the FAST-MAS study.
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| Title: | Using latent profile analyses to classify subjects with anhedonia based on reward-related measures obtained in the FAST-MAS study. |
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| Authors: | Darrow SM; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, United States of America. Electronic address: sabrina.darrow@ucsf.edu., Pizzagalli DA; McLean Hospital, United States of America., Smoski M; Department of Psychiatry and Behavioral Sciences, Duke University, United States of America., Mathew SJ; Baylor College of Medicine, United States of America., Nurnberger J Jr; Institute of Psychiatric Research, Indiana University Medical Center, United States of America., Lisanby SH; National Institute of Mental Health, United States of America., Iosifescu D; New York University, United States of America., Murrough JW; Department of Psychiatry, Mount Sinai School of Medicine, United States of America., Yang H; Duke University, United States of America., Weiner RD; School of Medicine, Duke University, United States of America., Sanacora G; Department of Psychiatry, Yale University, United States of America., Keefe RSE; Department of Psychiatry, Duke University Medical Center, United States of America., Song A; Duke University, United States of America., Goodman W; Department of Psychiatry, Baylor College of Medicine, United States of America., Whitton AE; Black Dog Institute, University of new South Wales, Australia., Potter WZ; NIMH, United States of America., Krystal AD; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, United States of America. |
| Source: | Journal of affective disorders [J Affect Disord] 2023 Oct 15; Vol. 339, pp. 584-592. Date of Electronic Publication: 2023 Jul 17. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2517 (Electronic) Linking ISSN: 01650327 NLM ISO Abbreviation: J Affect Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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