Progressive changes in descriptive discourse in First Episode Schizophrenia: a longitudinal computational semantics study.

ABSTRACT: Computational semantics, a branch of computational linguistics, involves automated meaning analysis that relies on how words occur together in natural language. This offers a promising tool to study schizophrenia. At present, we do not know if these word-level choices in speech are sensitive to the illness stage (i.e., acute untreated vs. stable established state), track cognitive deficits in major domains (e.g., cognitive control, processing speed) or relate to established dimensions of formal thought disorder. In this study, we collected samples of descriptive discourse in patients experiencing an untreated first episode of schizophrenia and healthy control subjects (246 samples of 1-minute speech; n = 82, FES = 46, HC = 36) and used a co-occurrence based vector embedding of words to qua

SUBMITTER: Alonso-Sanchez MF 

PROVIDER: S-EPMC9261094 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature