ArticleSchizophrenia research2022
Construct validity for computational linguistic metrics in individuals at clinical risk for psychosis: Associations with clinical ratings.
Article in Schizophrenia research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 46 citations in OpenAlex.
- Interpretable LLM-Based Detection of Loose Associations Using Synthetic Speech Data in Early Psychosis.Schizophrenia bulletin · 2026Article
- Linguistic Markers in At-Risk Mental States Using Natural Language Processing: A Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Vocal Markers of Schizophrenia: Assessing the Generalizability of Machine Learning Models and Their Clinical Applicability.Schizophrenia bulletin · 2026Article
- Linking speech patterns to brain structure in affective and psychotic disorders: an integrative natural language processing approach.Molecular psychiatry · 2026Article
- Subjective language disturbances in young patients at ultra-high risk for psychosis (UHR): what relevance for clinical prognosis? A 2-year follow-up study.European archives of psychiatry and clinical neuroscience · 2026Article
- Clinical psychopathology-based early relapse prediction model using speech and language in psychosis.Schizophrenia research. Cognition · 2026Review
- Disorganisation and depression: a re-examination of how we think and speak when depressed.European archives of psychiatry and clinical neuroscience · 2026Review
- Three dimensions of speech coherence in people with early psychosis and their family members.Schizophrenia (Heidelberg, Germany) · 2025Article
- Perplexity and proximity: Large language model perplexity complements semantic distance metrics for the detection of incoherent speech.Journal of biomedical informatics · 2025Article
- Relationship between grammar and schizophrenia: a systematic review and meta-analysis.Communications medicine · 2025Article
- National Institute of Mental Health Support for Cognitive Treatment Development in Schizophrenia: A Narrative Review.Schizophrenia bulletin · 2024Review
- Reduced speech coherence in psychosis-related social media forum posts.Schizophrenia (Heidelberg, Germany) · 2024Article
- Natural language processing in at-risk mental states: enhancing the assessment of thought disorders and psychotic traits with semantic dynamics and graph theory.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2024Article
- Theory-Driven Analysis of Natural Language Processing Measures of Thought Disorder Using Generative Language Modeling.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- The SPEAK study rationale and design: A linguistic corpus-based approach to understanding thought disorder.Schizophrenia research · 2023Article
- ChatGPT and Bard exhibit spontaneous citation fabrication during psychiatry literature search.Psychiatry research · 2023Article
- Emotional Expression on Social Media Support Forums for Substance Cessation: Observational Study of Text-Based Reddit Posts.Journal of medical Internet research · 2023Observational
- Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop.Schizophrenia bulletin · 2023Article
- Language Network Dysfunction and Formal Thought Disorder in Schizophrenia.Schizophrenia bulletin · 2023Review
- Validation of natural language processing methods capturing semantic incoherence in the speech of patients with non-affective psychosis.Frontiers in psychiatry · 2023Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
Language deficits are prevalent in psychotic illness, including its risk states, and are related to marked impairment in functioning. It is therefore important to characterize language impairment in the psychosis spectrum in order to develop potential preventive interventions. Natural language processing (NLP) metrics of semantic coherence and syntactic complexity have been used to discriminate schizophrenia patients from healthy controls (HC) and predict psychosis onset in individuals at clinical high-risk (CHR) for psychosis. To date, no studies have yet examined the construct validity of key NLP features with respect to clinical ratings of thought disorder in a CHR cohort. Herein we test the association of key NLP metrics of coherence and complexity with ratings of positive and negative thought disorder, respectively, in 60 CHR individuals, using Andreasen's Scale of Assessment of Thought, Language and Communication (TLC) Scale to measure of positive and negative thought disorder. As hypothesized, in CHR individuals, the NLP metric of semantic coherence was significantly correlated with positive thought disorder severity and the NLP metrics of complexity (sentence length and determiner use) were correlated with negative thought disorder severity. The finding of construct validity supports the premise that NLP analytics, at least in respect to core features of reduction of coherence and complexity, are capturing clinically relevant language disturbances in risk states for psychosis. Further psychometric study is required, in respect to reliability and other forms of validity.
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