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ABSTRACT: Background
Gouty arthritis (GA) is a common inflammatory disease characterized by severe pain and hyperuricemia (HUA). To date, the interaction between GA and cognitive function has remained unclear. This study aimed to investigate the cognitive impairment and related brain function changes in GA patients.Methods
A total of 21 male GA patients and 21 age-, gender-, and education-matched healthy controls (HC) were recruited. All participants underwent multimodal functional magnetic resonance imaging (fMRI) examinations and completed the Montreal Cognitive Assessment (MoCA) scale. We utilized supervised machine learning (ML) models based on whole-brain functional connectivity of resting-state fMRI (rs-fMRI) to distinguish GA patients from HC and exported the significantly neu
SUBMITTER: Zhuang Z
PROVIDER: S-EPMC12514683 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature