Frontiers in Immunology (Oct 2023)

Male and female are not the same: a multicenter study of static and dynamic functional connectivity in relapse-remitting multiple sclerosis in China

  • Yao Wang,
  • Yao Wang,
  • Yunyun Duan,
  • Yuling Wu,
  • Yuling Wu,
  • Zhizheng Zhuo,
  • Ningnannan Zhang,
  • Xuemei Han,
  • Chun Zeng,
  • Xiaoya Chen,
  • Muhua Huang,
  • Muhua Huang,
  • Yanyan Zhu,
  • Yanyan Zhu,
  • Haiqing Li,
  • Guanmei Cao,
  • Jie Sun,
  • Yongmei Li,
  • Fuqing Zhou,
  • Fuqing Zhou,
  • Yuxin Li

DOI
https://doi.org/10.3389/fimmu.2023.1216310
Journal volume & issue
Vol. 14

Abstract

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BackgroundSex-related effects have been observed in relapsing-remitting multiple sclerosis (RRMS), but their impact on functional networks remains unclear. ObjectiveTo investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS.MethodsThis is a multi-center retrospective study. A total of 208 RRMS patients (135 females; 37.55 ± 11.47 years old) and 228 healthy controls (123 females; 36.94 ± 12.17 years old) were included. All participants underwent clinical and MRI assessments. Independent component analysis was used to extract resting-state networks (RSNs). We assessed the connectivity strength using spatial maps (SMs) and static functional network connectivity (sFNC), evaluated temporal properties and dynamic functional network connectivity (dFNC) patterns of RSNs using dFNC, and investigated their associations with structural damage or clinical variables. ResultsFor static connectivity, only male RRMS patients displayed decreased SMs in the attention network and reduced sFNC between the sensorimotor network and visual or frontoparietal networks compared with healthy controls [P<0.05, false discovery rate (FDR) corrected]. For dynamic connectivity, three recurring states were identified for all participants: State 1 (sparse connected state; 42%), State 2 (middle-high connected state; 36%), and State 3 (high connected state; 16%). dFNC analyses suggested that altered temporal properties and dFNC patterns only occurred in females: female patients showed a higher fractional time (P<0.001) and more dwell time in State 1 (P<0.001) with higher transitions (P=0.004) compared with healthy females. Receiver operating characteristic curves revealed that the fraction time and mean dwell time of State 1 could significantly distinguish female patients from controls (area under the curve: 0.838-0.896). In addition, female patients with RRMS also mainly showed decreased dFNC in all states, particularly within cognitive networks such as the default mode, frontoparietal, and visual networks compared with healthy females (P < 0.05, FDR corrected).ConclusionOur results observed alterations in connectivity strength only in male patients and time variability in female patients, suggesting that sex-related effects may play an important role in the functional impairment and reorganization of RRMS.

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