ArticlePsychiatry research2018
Computational linguistic analysis applied to a semantic fluency task to measure derailment and tangentiality in schizophrenia.
Article in Psychiatry research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- Lowering costs for large-scale screening in psychosis: a systematic review and meta-analysis of performance and value of information for speech-based psychiatric evaluation.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)Pooled it
- Comprehensive verbal fluency features predict executive function performance.Scientific reports · 2021Trial
- Functional magnetic resonance imaging based on Chinese tasks to protect language function in epileptics.Brain and behavior · 2021Trial
- Characterizing the spiral: potential mechanisms in AI-associated delusions.NPP - digital psychiatry and neuroscience · 2026Review
- A Unified Attention-Based Account of Semantic Impairment in Schizophrenia.Schizophrenia bulletin · 2026Article
- Unique signatures in verbal fluency task performance in schizophrenia and depression.Schizophrenia research. Cognition · 2026Article
- Predicting Ultra-High Risk Outcomes Using Linguistic and Acoustic Measures From High-Risk Social Challenge Recordings: mHealth Longitudinal Cohort Exploratory Study.JMIR formative research · 2025Article
- Leveraging relatedness-based measures in people with language disorders: A scoping review.Journal of neuropsychology · 2025Article
- 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
- Accumulating evidence for myriad alternatives: Modeling the generation of free association.Psychological review · 2023Article
- Trajectories through semantic spaces in schizophrenia and the relationship to ripple bursts.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Theory-Driven Analysis of Natural Language Processing Measures of Thought Disorder Using Generative Language Modeling.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Article
- Lower cohesion and altered first-person pronoun usage in the spoken life narratives of individuals with schizophrenia.Schizophrenia research · 2023Article
- Emergence of Language Related to Self-experience and Agency in Autobiographical Narratives of Individuals With Schizophrenia.Schizophrenia bulletin · 2023Article
- Linguistic findings in persons with schizophrenia-a review of the current literature.Frontiers in psychology · 2023Review
- Automated analysis of speech as a marker of sub-clinical psychotic experiences.Frontiers in psychiatry · 2023Review
- Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies.Schizophrenia bulletin · 2022Article
- If you don't let it in, you don't have to get it out: Thought preemption as a method to control unwanted thoughts.PLoS computational biology · 2022Article
- Progressive changes in descriptive discourse in First Episode Schizophrenia: a longitudinal computational semantics study.Schizophrenia (Heidelberg, Germany) · 2022Article
- Semantic and phonetic similarity of verbal fluency responses in early-stage psychosis.Psychiatry research · 2022Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
Although rating scales to assess formal thought disorder exist, there are no objective, high-reliability instruments that can quantify and track it. This proof-of-concept study shows that CoVec, a new automated tool, is able to differentiate between controls and patients with schizophrenia with derailment and tangentiality. According to ratings from the derailment and tangentiality items of the Scale for the Assessment of Positive Symptoms, we divided the sample into three groups: controls, patients without formal thought disorder, and patients with derailment/tangentiality. Their lists of animals produced during a one-minute semantic fluency task were processed using CoVec, a newly developed software that measures the semantic similarity of words based on vector semantic analysis. CoVec outputs were Mean Similarity, Coherence, Coherence-5, and Coherence-10. Patients with schizophrenia produced fewer words than controls. Patients with derailment had a significantly lower mean number of words and lower Coherence-5 than controls and patients without derailment. Patients with tangentiality had significantly lower Coherence-5 and Coherence-10 than controls and patients without tangentiality. Despite the small samples of patients with clinically apparent thought disorder, CoVec was able to detect subtle differences between controls and patients with either or both of the two forms of disorganization.
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