Automatic language analysis identifies and predicts schizophrenia in first-episode of psychosis.
Journal
Schizophrenia (Heidelberg, Germany)
ISSN: 2754-6993
Titre abrégé: Schizophrenia (Heidelb)
Pays: Germany
ID NLM: 9918367987006676
Informations de publication
Date de publication:
01 Jun 2022
01 Jun 2022
Historique:
received:
18
07
2021
accepted:
18
04
2022
entrez:
19
7
2022
pubmed:
20
7
2022
medline:
20
7
2022
Statut:
epublish
Résumé
Automated language analysis of speech has been shown to distinguish healthy control (HC) vs chronic schizophrenia (SZ) groups, yet the predictive power on first-episode psychosis patients (FEP) and the generalization to non-English speakers remain unclear. We performed a cross-sectional and longitudinal (18 months) automated language analysis in 133 Spanish-speaking subjects from three groups: healthy control or HC (n = 49), FEP (n = 40), and chronic SZ (n = 44). Interviews were manually transcribed, and the analysis included 30 language features (4 verbal fluency; 20 verbal productivity; 6 semantic coherence). Our cross-sectional analysis showed that using the top ten ranked and decorrelated language features, an automated HC vs SZ classification achieved 85.9% accuracy. In our longitudinal analysis, 28 FEP patients were diagnosed with SZ at the end of the study. Here, combining demographics, PANSS, and language information, the prediction accuracy reached 77.5% mainly driven by semantic coherence information. Overall, we showed that language features from Spanish-speaking clinical interviews can distinguish HC vs chronic SZ, and predict SZ diagnosis in FEP patients.
Identifiants
pubmed: 35853943
doi: 10.1038/s41537-022-00259-3
pii: 10.1038/s41537-022-00259-3
pmc: PMC9261086
doi:
Types de publication
Journal Article
Langues
eng
Pagination
53Subventions
Organisme : Ministry of Education, Government of Chile | National Commission for Scientific and Technological Research | Fondo de Fomento al Desarrollo Científico y Tecnológico (FONDEF)
ID : ID20I10371
Informations de copyright
© 2022. The Author(s).
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