Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop

Hugo Corona Hernández; Cheryl Corcoran; Amélie M Achim; Janna N de Boer; Tessel Boerma; Sanne G Brederoo; Guillermo A Cecchi; Silvia Ciampelli; Brita Elvevåg; Riccardo Fusaroli; Silvia Giordano; Mathias Hauglid; Arjan van Hessen; Wolfram Hinzen; Philipp Homan; Sybren F de Kloet; Sanne Koops; Gina R Kuperberg; Kritika Maheshwari; Natalia B Mota; Alberto Parola; Roberta Rocca; Iris E C Sommer; Khiet Truong; Alban E Voppel; Marieke van Vugt; Frank Wijnen; Lena Palaniyappan

doi:10.1093/schbul/sbac215

Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop

Hugo Corona Hernández
, Cheryl Corcoran
, Amélie M Achim
, Janna N de Boer
, Tessel Boerma
, Sanne G Brederoo
, Guillermo A Cecchi
, Silvia Ciampelli
, Brita Elvevåg
, Riccardo Fusaroli
, Silvia Giordano
, Mathias Hauglid
, Arjan van Hessen
, Wolfram Hinzen
, Philipp Homan
, Sybren F de Kloet
, Sanne Koops
, Gina R Kuperberg
, Kritika Maheshwari
, Natalia B Mota

Alberto Parola, Roberta Rocca, Iris E C Sommer, Khiet Truong, Alban E Voppel, Marieke van Vugt, Frank Wijnen, Lena Palaniyappan

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

This workshop summary on natural language processing (NLP) markers for psychosis and other psychiatric disorders presents some of the clinical and research issues that NLP markers might address and some of the activities needed to move in that direction. We propose that the optimal development of NLP markers would occur in the context of research efforts to map out the underlying mechanisms of psychosis and other disorders. In this workshop, we identified some of the challenges to be addressed in developing and implementing NLP markers-based Clinical Decision Support Systems (CDSSs) in psychiatric practice, especially with respect to psychosis. Of note, a CDSS is meant to enhance decision-making by clinicians by providing additional relevant information primarily through software (although CDSSs are not without risks). In psychiatry, a field that relies on subjective clinical ratings that condense rich temporal behavioral information, the inclusion of computational quantitative NLP markers can plausibly lead to operationalized decision models in place of idiosyncratic ones, although ethical issues must always be paramount.

Original language	English
Pages (from-to)	S86-S92
Journal	Schizophrenia Bulletin
Volume	49
Issue number	Supplement_2
DOIs	https://doi.org/10.1093/schbul/sbac215
Publication status	Published - 1 Mar 2023

Bibliographical note

Publisher Copyright:
© 2023 The Author(s). Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved.

Funding

This article was enabled by a Distinguished Lorentz Fellowship granted to Iris Sommer in 2022 for Computational Linguistics to aid Diagnosis and Treatment Monitoring in Psychiatry. H.C.H. was supported by the Consejo Nacional de Ciencia y Tecnología (CONACyT, Mexican Government, scholarship number 739604). L.P. received research support from the Tanna Schulich Chair of Neuroscience and Mental Health (Schulich School of Medicine, Western University: 2019–2022); Canadian Institutes of Health Research (CIHR) Foundation Grant (154296); Monique H. Bourgeois Chair in Developmental Disorders and Graham Boeckh Foundation (Douglas Research Centre, McGill University) and salary award from the Fonds de Recherche du Québec-Santé (FRQS). Part of the networking efforts of the DISCOURSE in Psychosis consortium is funded by a grant from the Tannenbaum Open Science Initiative at the Neuro, McGill University. A.P. is supported by a Marie Skłodowska-Curie Actions (MSCA)—Individuals Fellowship H2020-MSCA-IF-2018 (Grant agreement ID: 832518, Project: MOVES). A.M.A. received support from the Fonds de Recherche de Québec-Santé (FRQS). C.C. was supported by two grants of the National Institute of Mental Health: Using the RDoC Approach to Understand Thought Disorder: A Linguistic Corpus-Based Approach (5R01MH115332) and Thought Disorder and Social Cognition in Clinical Risk States for Schizophrenia (5R01MH107558). K.M. received funding from the NWO ELSA AI Lab Northern Netherlands. L.P. reports personal fees from the Canadian Medical Association Journals for serving as chief editor, speaker/consultant fee from Janssen Canada and Otsuka Canada, SPMM Course Limited, UK, Canadian Psychiatric Association; book royalties from Oxford University Press; investigator-initiated educational grants from Janssen Canada, Sunovion and Otsuka Canada outside the submitted work. R.F. reports past consultant fees from F. Hoffmann-La Roche. N.B.M. works at Motrix, an EduTech startup, and has been a consultant to Boehringer Ingelheim. All other authors have no conflicts to disclose.

Funders	Funder number
Otsuka Canada
Tanna Schulich Chair of Neuroscience and Mental Health
Tannenbaum Open Science Initiative
National Institute of Mental Health	5R01MH107558, 5R01MH115332
McGill University
Sunovion
H2020 Marie Skłodowska-Curie Actions	832518, H2020-MSCA-IF-2018
Janssen Canada
Canadian Institutes of Health Research	154296
Consejo Nacional de Ciencia y Tecnología	739604
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Schulich School of Medicine and Dentistry, Western University

Keywords

digital markers
implementation
pathophysiology
psychiatric practice
speech technology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1093/schbul/sbac215

sbac215Final published version, 173 KBLicence: Taverne

Cite this

Corona Hernández, H., Corcoran, C., Achim, A. M., de Boer, J. N., Boerma, T., Brederoo, S. G., Cecchi, G. A., Ciampelli, S., Elvevåg, B., Fusaroli, R., Giordano, S., Hauglid, M., van Hessen, A., Hinzen, W., Homan, P., de Kloet, S. F., Koops, S., Kuperberg, G. R., Maheshwari, K., ... Palaniyappan, L. (2023). Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop. Schizophrenia Bulletin, 49(Supplement_2), S86-S92. https://doi.org/10.1093/schbul/sbac215

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Corona Hernández, H, Corcoran, C, Achim, AM, de Boer, JN, Boerma, T, Brederoo, SG, Cecchi, GA, Ciampelli, S, Elvevåg, B, Fusaroli, R, Giordano, S, Hauglid, M, van Hessen, A, Hinzen, W, Homan, P, de Kloet, SF, Koops, S, Kuperberg, GR, Maheshwari, K, Mota, NB, Parola, A, Rocca, R, Sommer, IEC, Truong, K, Voppel, AE, van Vugt, M, Wijnen, F & Palaniyappan, L 2023, 'Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop', Schizophrenia Bulletin, vol. 49, no. Supplement_2, pp. S86-S92. https://doi.org/10.1093/schbul/sbac215

Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop. / Corona Hernández, Hugo; Corcoran, Cheryl; Achim, Amélie M et al.
In: Schizophrenia Bulletin, Vol. 49, No. Supplement_2, 01.03.2023, p. S86-S92.

Research output: Contribution to journal › Article › Academic › peer-review

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AU - Achim, Amélie M

AU - de Boer, Janna N

AU - Boerma, Tessel

AU - Brederoo, Sanne G

AU - Cecchi, Guillermo A

AU - Ciampelli, Silvia

AU - Elvevåg, Brita

AU - Fusaroli, Riccardo

AU - Giordano, Silvia

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AU - Koops, Sanne

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AU - Maheshwari, Kritika

AU - Mota, Natalia B

AU - Parola, Alberto

AU - Rocca, Roberta

AU - Sommer, Iris E C

AU - Truong, Khiet

AU - Voppel, Alban E

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AU - Wijnen, Frank

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KW - pathophysiology

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KW - speech technology

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Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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