Year: 2026
Type: preprint
Study design: Observational Study
Abstract: Scale-free temporal organization, in which fluctuations show similar statistical structures across timescales, is a feature of many complex systems considered to support optimal functioning. Alterations of such scaling have been reported in several pathologies, but whether comparable alterations characterize the temporal organization of language remains largely unexplored. We address this question in the domain of psychosis, where language anomalies are pervasively documented. Specifically, we apply detrended fluctuation analysis (DFA) to quantify temporal scaling in Qwen3-derived continuous cosine similarity time series, capturing trajectories through semantic space computed from transcripts of picture descriptions across three independent datasets. DFA scaling exponents α were extracted to characterize the strength of long-range temporal correlations. Across all datasets, patients exhibited significantly elevated α relative to controls, indicating increased temporal persistence in semantic fluctuations. This analysis opens a window into the multi-timescale organization of meaning as it unfolds in discourse and reveals a signature of altered temporal scaling. This alteration parallels known departures from critical scaling in brain dynamics in psychosis, suggesting the exploration of possible links between these two.
Source: arXiv (Cornell University)
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G1237346504, G3265249946, G3434867832, G4588023527, Untersuchung spontansprachlicher, linguistischer Parameter bei affektiven und psychotischen Störungen und deren hirnstrukturelle Korrelate, G5417235735, G6488228673, G6733821374, G6945970186, FOR 2107: Neurobiologie affektiver Störungen Eine translationale Perspektive auf Gehirnstruktur und funktion, G7578079922, DIALOG: Understanding Disorganisation: A Language-focused Global Initiative in Psychosis, G8716229368
OpenAlex ID: W7165652508