Latent Factors of Language Disturbance and Relationships to Quantitative Speech Features.

ABSTRACT:

Background and hypothesis

Quantitative acoustic and textual measures derived from speech ("speech features") may provide valuable biomarkers for psychiatric disorders, particularly schizophrenia spectrum disorders (SSD). We sought to identify cross-diagnostic latent factors for speech disturbance with relevance for SSD and computational modeling.

Study design

Clinical ratings for speech disturbance were generated across 14 items for a cross-diagnostic sample (N = 334), including SSD (n = 90). Speech features were quantified using an automated pipeline for brief recorded samples of free speech. Factor models for the clinical ratings were generated using exploratory factor analysis, then tested with confirmatory factor analysis in the cross-diagnostic and SSD groups. The relat

SUBMITTER: Tang SX 

PROVIDER: S-EPMC10031730 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature