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Article Abstract

Background: Early psychopathologists proposed that certain features of positive thought disorder, the disorganized language output produced by some people with schizophrenia, suggest an insensitivity to global, relative to local, discourse context. This idea has received support from carefully controlled psycholinguistic studies in language comprehension. In language production, researchers have so far remained reliant on subjective qualitative rating scales to assess and understand speech disorganization. However, recent advances in large language models mean that it is possible to quantify sensitivity to global and local context objectively by probing lexical probability (the predictability of a word given its preceding context) during natural language production.

Methods: For each word in speech produced by 60 patients with first-episode psychosis and 35 healthy, demographically matched control participants, we extracted lexical probabilities from GPT-3 based on contexts that ranged from very local-a single preceding word: P(Wn | Wn-1)-to global-up to 50 preceding words: P(Wn | Wn-50, Wn-49, …, Wn-1).

Results: We show that disorganized speech is characterized by disproportionate insensitivity to global versus local linguistic context. Critically, this global versus local insensitivity selectively predicted clinical ratings of positive thought disorder, above and beyond overall symptom severity. There was no evidence of a relationship with negative thought disorder (impoverishment).

Conclusions: We provide an automated, interpretable measure that can potentially be used to quantify speech disorganization in schizophrenia. Our findings directly linked the clinical phenomenology of thought disorder to neurocognitive constructs that are grounded in psycholinguistic theory and neurobiology.

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http://dx.doi.org/10.1016/j.biopsych.2025.06.001DOI Listing

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