Evidence map›Paper›PMID 37885895›Full record

ArticleFrontiers in immunology2023

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, Yunyun Duan, Yuling Wu, Zhizheng Zhuo, Ningnannan Zhang, Xuemei Han, Chun Zeng, Xiaoya Chen, Muhua Huang, Yanyan Zhu and 6 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 1 country.

Yao WangDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China.
Yunyun DuanDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuling WuDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China.
Zhizheng ZhuoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ningnannan ZhangDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
Xuemei HanDepartment of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.
Chun ZengDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaoya ChenDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Muhua HuangDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China.
Yanyan ZhuDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China.
Haiqing LiDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Guanmei CaoDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jie SunDepartment of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
Yongmei LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fuqing ZhouDepartment of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China.
Yuxin LiDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Nanchang University · CNFudan University · CNCapital Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CNTianjin Medical University General Hospital · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sex-related effects have been observed in relapsing-remitting multiple sclerosis (RRMS), but their impact on functional networks remains unclear. Objective: To investigate the sex-related differences in connectivity strength and time variability within large-scale networks in RRMS. Methods: This 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. Results: For 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 [ Conclusion: Our 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.

Indexed as

Multiple SclerosisMultiple Sclerosis, Relapsing-RemittingAdultBrainBrain MappingChronic DiseaseFemaleHumansMaleMiddle AgedRecurrenceRetrospective StudiesYoung Adultdynamic functional network connectivityindependent component analysismagnetic resonance imagingrelapsing-remitting multiple sclerosissexstatic functional network connectivity

Identifiers

PMID37885895
PMCPMC10597802
OpenAlexW4387498768

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.