Diverging functional connectivity timescales: Capturing distinct aspects of cognitive performance in early psychosis.

ABSTRACT:

Background

Psychosis spectrum disorders (PSDs) are marked by cognitive impairments, the neurobiological correlates of which remain poorly understood. Here, we investigate the entropy of time-varying functional connectivity (TVFC) patterns from resting-state functional magnetic resonance imaging (rs-fMRI) as potential biomarker for cognitive performance in PSDs. By combining our results with multimodal reference data, we hope to generate new insights into the mechanisms underlying cognitive dysfunction in PSDs. We hypothesized that low-entropy TVFC patterns (LEN) would be more behaviorally informative than high-entropy TVFC patterns (HEN), especially for tasks that require extensive integration across diverse cognitive subdomains.

Methods

rs-fMRI and behavioral data from 97 p

SUBMITTER: Hirsch F 

PROVIDER: S-EPMC11401179 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature