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Dataset Information

Linking spontaneous speech, cognition, and psychopathology across affective and psychotic disorders: A network approach.


ABSTRACT:

Background

Language impairments are common in affective and psychotic disorders, yet their patterns and underlying pathomechanisms remain insufficiently understood. A transdiagnostic perspective provides a framework for identifying shared and disorder-specific language alterations across diagnostic boundaries. Combining natural language processing (NLP) with network analysis enables the investigation of complex associations between linguistic, cognitive, and psychopathological features.

Methods

Spontaneous speech from N = 372 participants (119 MDD, 27 BD, 48 SSD and 178 HC) was elicited using four Thematic Apperception Test pictures (~12 min per participant). NLP models were applied to extract latent linguistic variables across various levels, including lexical divers

SUBMITTER: Mulfarth RR 

PROVIDER: S-EPMC12925669 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature