ArticleSchizophrenia (Heidelberg, Germany)2022
Deconstructing heterogeneity in schizophrenia through language: a semi-automated linguistic analysis and data-driven clustering approach.
Article in Schizophrenia (Heidelberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Cognitive pathways to communicative-pragmatic dysfunction in schizophrenia: The role of autistic symptoms.Schizophrenia research. Cognition · 2026Article
- An integrative NLP framework identifies multilevel linguistic phenotypes of schizophrenia across tasks.Psychological medicine · 2026Article
- Linking speech patterns to brain structure in affective and psychotic disorders: an integrative natural language processing approach.Molecular psychiatry · 2026Article
- Speech under stress: Affective and cognitive reactivity in schizophrenia and their functional correlates.Schizophrenia research. Cognition · 2026Review
- Ten years of using the APACS test: a multistudy cross-diagnostic analysis of pragmatic profiles and their relationship with Theory of Mind.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Examining embedded lies through computational text analysis.Scientific reports · 2025Article
- Relationship between grammar and schizophrenia: a systematic review and meta-analysis.Communications medicine · 2025Article
- Characterizing the patient experience of physical restraint in psychiatric settings via a linguistic, sentiment, and metaphor analysis.Scientific reports · 2025Article
- Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models.Frontiers in psychiatry · 2025Article
- Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis.Frontiers in psychiatry · 2023Article
- Markers of schizophrenia at the prosody/pragmatics interface. Evidence from corpora of spontaneous speech interactions.Frontiers in psychology · 2023Article
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Authors and funding
15 authors.
Funding
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Abstract
Previous works highlighted the relevance of automated language analysis for predicting diagnosis in schizophrenia, but a deeper language-based data-driven investigation of the clinical heterogeneity through the illness course has been generally neglected. Here we used a semiautomated multidimensional linguistic analysis innovatively combined with a machine-driven clustering technique to characterize the speech of 67 individuals with schizophrenia. Clusters were then compared for psychopathological, cognitive, and functional characteristics. We identified two subgroups with distinctive linguistic profiles: one with higher fluency, lower lexical variety but greater use of psychological lexicon; the other with reduced fluency, greater lexical variety but reduced psychological lexicon. The former cluster was associated with lower symptoms and better quality of life, pointing to the existence of specific language profiles, which also show clinically meaningful differences. These findings highlight the importance of considering language disturbances in schizophrenia as multifaceted and approaching them in automated and data-driven ways.
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Registered trials
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