Altered dynamic functional network connectivity in rheumatoid arthritis associated with peripheral inflammation and neuropsychiatric disorders

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ..

OBJECTIVE: This study explored the dynamic functional connective (DFC) alterations in patients with rheumatoid arthritis (RA) and investigated the correlation between the neuropsychiatric symptoms, peripheral inflammation and DFC alterations.

METHOD: Using resting-state functional MRI, we investigated the DFC based on spatial independent component analysis and sliding window method for 30 patients with RA and 30 healthy controls (HCs). The Spearman correlation was calculated between aberrant DFC alterations, Montreal Cognitive Assessment (MoCA), Hospital Anxiety and Depression Scale (HAD), C reactive protein (CRP) and erythrocyte sedimentation rate (ESR). Diagnostic efficacy of indicators was assessed using receiver operating characteristic analysis (ROC).

RESULTS: Three dynamic functional states were identified. Compared with HC, patients with RA showed reduced FC variabilities between sensorimotor network (SMN) and insula, SMN and orbitofrontal cortex, which were the crucial regions of sensory processing network. The above FC variabilities were correlated with the MoCA, HAD, CRP and ESR in patients with RA. Additionally, the CRP and ESR were negatively correlated to MoCA and positively related to HAD in patients with RA. The ROC analysis results showed that MoCA, HAD and FC variabilities of the sensory processing network could distinguish patients with RA from HC and also identify patients with RA with high ESR.

CONCLUSION: Our findings demonstrated that abnormal DFC patterns in sensory processing networks in patients with RA were closely associated with peripheral inflammation and neuropsychiatric symptoms. This indicates that the dynamic temporal characteristics of the brain functional network may be potential neuroimaging biomarkers for revealing the pathological mechanism of RA.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

RMD open - 10(2024), 1 vom: 29. Feb.

Sprache:

Englisch

Beteiligte Personen:

Zheng, Yanmin [VerfasserIn]
Hou, Zhiduo [VerfasserIn]
Ma, Shuhua [VerfasserIn]
Huang, Zikai [VerfasserIn]
Peng, Jianhua [VerfasserIn]
Huang, Shuxin [VerfasserIn]
Guo, Ruiwei [VerfasserIn]
Huang, Jinzhuang [VerfasserIn]
Lin, Zhirong [VerfasserIn]
Zhuang, Zelin [VerfasserIn]
Yin, Jingjing [VerfasserIn]
Xie, Lei [VerfasserIn]

Links:

Volltext

Themen:

9007-41-4
C-Reactive Protein
Inflammation
Journal Article
Magnetic resonance imaging
Psychology
Rheumatoid arthritis

Anmerkungen:

Date Completed 04.03.2024

Date Revised 06.03.2024

published: Electronic

Citation Status MEDLINE

doi:

10.1136/rmdopen-2023-003684

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369188586