Semantic coherence in psychometric schizotypy: An investigation using Latent Semantic Analysis

- Latent semantic analysis was used to assess semantic coherence in schizotypy.
- Semantic coherence was examined across baseline and cognitive load conditions.
- Semantic coherence did not differ between groups or within conditions.

Technological advancements have led to the development of automated methods for assessing semantic coherence in psychiatric populations. Latent Semantic Analysis (LSA) is an automated method that has been used to quantify semantic coherence in schizophrenia-spectrum disorders. The current study examined whether: 1) Semantic coherence reductions extended to psychometrically-defined schizotypy and 2) Greater cognitive load further reduces semantic coherence. LSA was applied to responses generated during category fluency tasks in baseline and cognitive load conditions. Significant differences between schizotypy and non-schizotypy groups were not observed. Findings suggest that semantic coherence may be relatively preserved at this point on the schizophrenia-spectrum.