PMID- 36732110 OWN - NLM STAT- MEDLINE DCOM- 20230918 LR - 20240302 IS - 1573-2509 (Electronic) IS - 0920-9964 (Print) IS - 0920-9964 (Linking) VI - 259 DP - 2023 Sep TI - The SPEAK study rationale and design: A linguistic corpus-based approach to understanding thought disorder. PG - 80-87 LID - S0920-9964(22)00495-9 [pii] LID - 10.1016/j.schres.2022.12.048 [doi] AB - AIM: Psychotic symptoms are typically measured using clinical ratings, but more objective and sensitive metrics are needed. Hence, we will assess thought disorder using the Research Domain Criteria (RDoC) heuristic for language production, and its recommended paradigm of "linguistic corpus-based analyses of language output". Positive thought disorder (e.g., tangentiality and derailment) can be assessed using word-embedding approaches that assess semantic coherence, whereas negative thought disorder (e.g., concreteness, poverty of speech) can be assessed using part-of-speech (POS) tagging to assess syntactic complexity. We aim to establish convergent validity of automated linguistic metrics with clinical ratings, assess normative demographic variance, determine cognitive and functional correlates, and replicate their predictive power for psychosis transition among at-risk youths. METHODS: This study will assess language production in 450 English-speaking individuals in Australia and Canada, who have recent onset psychosis, are at clinical high risk (CHR) for psychosis, or who are healthy volunteers, all well-characterized for cognition, function and symptoms. Speech will be elicited using open-ended interviews. Audio files will be transcribed and preprocessed for automated natural language processing (NLP) analyses of coherence and complexity. Data analyses include canonical correlation, multivariate linear regression with regularization, and machine-learning classification of group status and psychosis outcome. CONCLUSIONS: This prospective study aims to characterize language disturbance across stages of psychosis using computational approaches, including psychometric properties, normative variance and clinical correlates, important for biomarker development. SPEAK will create a large archive of language data available to other investigators, a rich resource for the field. CI - Copyright (c) 2023 Elsevier B.V. All rights reserved. FAU - Bayer, J M M AU - Bayer JMM AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. Electronic address: bayerj@student.unimelb.edu.au. FAU - Spark, J AU - Spark J AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. FAU - Krcmar, M AU - Krcmar M AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. FAU - Formica, M AU - Formica M AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. FAU - Gwyther, K AU - Gwyther K AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. FAU - Srivastava, A AU - Srivastava A AD - Icahn School of Medicine at Mount Sinai, New York, NY, USA. FAU - Selloni, A AU - Selloni A AD - Icahn School of Medicine at Mount Sinai, New York, NY, USA. FAU - Cotter, M AU - Cotter M AD - Icahn School of Medicine at Mount Sinai, New York, NY, USA. FAU - Hartmann, J AU - Hartmann J AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. FAU - Polari, A AU - Polari A AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. FAU - Bilgrami, Z R AU - Bilgrami ZR AD - Emory University, Atlanta, GA, USA. FAU - Sarac, C AU - Sarac C AD - Icahn School of Medicine at Mount Sinai, New York, NY, USA. FAU - Lu, A AU - Lu A AD - Icahn School of Medicine at Mount Sinai, New York, NY, USA. FAU - Yung, Alison R AU - Yung AR AD - Orygen, Parkville, Victoria, Australia; Institute for Mental and Physical Health and Clinical Translation (IMPACT), Deakin University, Australia; School of Health Sciences, University of Manchester, United Kingdom. FAU - McGowan, A AU - McGowan A AD - Icahn School of Medicine at Mount Sinai, New York, NY, USA. FAU - McGorry, P AU - McGorry P AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. FAU - Shah, J L AU - Shah JL AD - McGill Department of Psychiatry & Douglas Research Hospital, Montreal, Canada. FAU - Cecchi, G A AU - Cecchi GA AD - IBM TJ Watson Research Center, Yorktown Heights, NY, USA. FAU - Mizrahi, R AU - Mizrahi R AD - McGill Department of Psychiatry & Douglas Research Hospital, Montreal, Canada. FAU - Nelson, B AU - Nelson B AD - Orygen, Parkville, Victoria, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia. FAU - Corcoran, C M AU - Corcoran CM AD - Icahn School of Medicine at Mount Sinai, New York, NY, USA; James J. Peters Veterans Administration, Bronx, NY, USA. LA - eng GR - R01 MH115332/MH/NIMH NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural DEP - 20230131 PL - Netherlands TA - Schizophr Res JT - Schizophrenia research JID - 8804207 SB - IM MH - Adolescent MH - Humans MH - Prospective Studies MH - *Psychotic Disorders/complications/diagnosis MH - Linguistics MH - Language MH - Speech PMC - PMC10387495 MID - NIHMS1915690 OTO - NOTNLM OT - Latent semantic analysis OT - Natural language processing OT - Part-of-speech-tagging OT - Psychosis OT - Thought disorder OT - Ultra/clinical high risk COIS- Declaration of competing interest The authors declare no real or potential conflict of interest. All authors have reviewed and approved the manuscript before submission. EDAT- 2023/02/03 06:00 MHDA- 2023/09/18 12:43 PMCR- 2024/03/01 CRDT- 2023/02/02 22:01 PHST- 2022/09/29 00:00 [received] PHST- 2022/12/27 00:00 [revised] PHST- 2022/12/30 00:00 [accepted] PHST- 2023/09/18 12:43 [medline] PHST- 2023/02/03 06:00 [pubmed] PHST- 2023/02/02 22:01 [entrez] PHST- 2024/03/01 00:00 [pmc-release] AID - S0920-9964(22)00495-9 [pii] AID - 10.1016/j.schres.2022.12.048 [doi] PST - ppublish SO - Schizophr Res. 2023 Sep;259:80-87. doi: 10.1016/j.schres.2022.12.048. Epub 2023 Jan 31.