Linguistic profile automated characterisation in pluripotential clinical high-risk mental state (CHARMS) conditions: methodology of a multicentre observational study
Article
Magnani, L., Carmisciano, L., dell’Orletta, F., Bettinardi, O., Chiesa, S., Imbesi, M., Limonta, G., Montagna, E., Turone, I., Martinasso, D., Aguglia, A., Serafini, G., Amore, M., Costanza, A., Sibilla, F., Calcagno, P., Patti, S., Molino, G., Escelsior, A., Trabucco, A., Marzano, L., Brunato, D., Ravelli, A., Cappucciati, M., Fiocchi, R., Guerzoni, G., Maravita, D., Macchetti, F., Mori, E., Paglia, C., Roscigno, F. and Saginario, A. 2023. Linguistic profile automated characterisation in pluripotential clinical high-risk mental state (CHARMS) conditions: methodology of a multicentre observational study. BMJ Open. 13. https://doi.org/10.1136/bmjopen-2022-066642
Type | Article |
---|---|
Title | Linguistic profile automated characterisation in pluripotential clinical high-risk mental state (CHARMS) conditions: methodology of a multicentre observational study |
Authors | Magnani, L., Carmisciano, L., dell’Orletta, F., Bettinardi, O., Chiesa, S., Imbesi, M., Limonta, G., Montagna, E., Turone, I., Martinasso, D., Aguglia, A., Serafini, G., Amore, M., Costanza, A., Sibilla, F., Calcagno, P., Patti, S., Molino, G., Escelsior, A., Trabucco, A., Marzano, L., Brunato, D., Ravelli, A., Cappucciati, M., Fiocchi, R., Guerzoni, G., Maravita, D., Macchetti, F., Mori, E., Paglia, C., Roscigno, F. and Saginario, A. |
Abstract | Introduction: Language is usually considered the social vehicle of thought in intersubjective communications. However, the relationship between language and high- order cognition seems to evade this canonical and unidirectional description (ie, the notion of language as a simple means of thought communication). In recent years, clinical high at-risk mental state (CHARMS) criteria (evolved from the Ultra-High-Risk paradigm) and the introduction of the Clinical Staging system have been proposed to address the dynamicity of early psychopathology. At the same time, natural language processing (NLP) techniques have greatly evolved and have been successfully applied to investigate different neuropsychiatric conditions. The combination of at-risk mental state paradigm, clinical staging system and automated NLP methods, the latter applied on spoken language transcripts, could represent a useful and convenient approach to the problem of early psychopathological distress within a transdiagnostic risk paradigm. |
Keywords | Adult psychiatry; Child & adolescent psychiatry; Health informatics; Epidemiology; Protocols & guidelines |
Sustainable Development Goals | 3 Good health and well-being |
Middlesex University Theme | Health & Wellbeing |
Publisher | BMJ Publishing Group |
Journal | BMJ Open |
ISSN | |
Electronic | 2044-6055 |
Publication dates | |
Online | 22 Mar 2023 |
22 Mar 2023 | |
Publication process dates | |
Deposited | 23 Mar 2023 |
Accepted | 08 Mar 2023 |
Submitted | 13 Jul 2022 |
Output status | Published |
Publisher's version | License |
Digital Object Identifier (DOI) | https://doi.org/10.1136/bmjopen-2022-066642 |
Web of Science identifier | WOS:001002034700087 |
WOS:000991974800045 | |
Language | English |
https://repository.mdx.ac.uk/item/8q509
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