ArticleSchizophrenia (Heidelberg, Germany)2022
Who does what to whom? graph representations of action-predication in speech relate to psychopathological dimensions of psychosis.
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 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- ACES: ascertaining diagnosis classification with elicited speech in individuals with heterogeneous, comorbid psychiatric disorders.Psychiatry research · 2026Article
- Cross-linguistic benchmarking of NLP metrics for psychosis research.NPJ digital medicine · 2026Article
- From thought to language: Comparing schizophrenia spectrum disorders and Wernicke's aphasia with machine learning and LLMs.Schizophrenia research. Cognition · 2026Article
- Unique signatures in verbal fluency task performance in schizophrenia and depression.Schizophrenia research. Cognition · 2026Article
- Diagnostic Utility of Formal Thought Disorder Between Affective and Non-Affective Psychosis: A Machine Learning Approach.The Psychiatric quarterly · 2026Article
- Transdiagnostic types of formal thought disorder and their association with gray matter brain structure: a model-based cluster analytic approach.Molecular psychiatry · 2025Article
- Sentiment in speech is associated with symptom severity in psychosis.Cognitive neuropsychiatry · 2025Article
- Evolution of Linguistic Markers of Agency, Centrality and Content During Metacognitive Therapy for Psychosis: A Pilot Exploratory Study.Early intervention in psychiatry · 2025Article
- Automated speech and language markers of longitudinal changes in psychosis symptoms.NPP - digital psychiatry and neuroscience · 2025Article
- Speech analytics across the schizophrenia spectrum disorders: multimodal natural language processing and machine learning modelling in a Chinese-speaking population.Frontiers in psychiatry · 2025Article
- Automatic evaluation-feedback system for automated social skills training.Scientific reports · 2023Article
- Latent Factors of Language Disturbance and Relationships to Quantitative Speech Features.Schizophrenia bulletin · 2023Article
- Understanding psychiatric illness through natural language processing (UNDERPIN): Rationale, design, and methodology.Frontiers in psychiatry · 2022Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Graphical representations of speech generate powerful computational measures related to psychosis. Previous studies have mostly relied on structural relations between words as the basis of graph formation, i.e., connecting each word to the next in a sequence of words. Here, we introduced a method of graph formation grounded in semantic relationships by identifying elements that act upon each other (action relation) and the contents of those actions (predication relation). Speech from picture descriptions and open-ended narrative tasks were collected from a cross-diagnostic group of healthy volunteers and people with psychotic or non-psychotic disorders. Recordings were transcribed and underwent automated language processing, including semantic role labeling to identify action and predication relations. Structural and semantic graph features were computed using static and dynamic (moving-window) techniques. Compared to structural graphs, semantic graphs were more strongly correlated with dimensional psychosis symptoms. Dynamic features also outperformed static features, and samples from picture descriptions yielded larger effect sizes than narrative responses for psychosis diagnoses and symptom dimensions. Overall, semantic graphs captured unique and clinically meaningful information about psychosis and related symptom dimensions. These features, particularly when derived from semi-structured tasks using dynamic measurement, are meaningful additions to the repertoire of computational linguistic methods in psychiatry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.