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

PSYCHIATRY RESEARCH

卷:259

Article

Marggraf, Matthew P.¹  Cohen, Alex S.²  Davis, Beshaun J.¹  DeCrescenzo, Paula¹  Bair, Natasha¹  Minor, Kyle S.¹ 

[1] Indiana Univ Purdue Univ, Dept Psychol, Indianapolis, IN 46205 USA

[2] Louisiana State Univ, Dept Psychol, Baton Rouge, LA 70803 USA

关键词: Schizotypy;    Latent semantic analysis;    Semantic coherence;   

DOI  :  10.1016/j.psychres.2017.09.078

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

Free