Evidence map›Paper›PMID 41670734›Full record

SynthesisJournal of neurology2026

Disrupted and reorganized connectivity of brain networks in multiple sclerosis: a systematic review and meta-analysis of resting-state functional MRI.

Bingyi Qu, Siyi Li, Hongxi Chen, Ying Zhang, Su Lui, Peilin Lv, Li Yao

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of neurology, 2026. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
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

7 authors.

Bingyi Qu *Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Siyi Li *Department of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Hongxi ChenDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Ying ZhangDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Su LuiDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China.
Peilin LvDepartment of Anesthesiology, National-Local Joint Engineering Research Centre of Translational Medicine of Anesthesiology, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, China. peilinlyu@qq.com.
Li YaoDepartment of Radiology, Huaxi MR Research Center (HMRRC), Institute of Radiology and Medical Imaging, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu, 610041, Sichuan, China. yaoli2033@163.com.

Funding

Chengdu Municipal Science and Technology Program major technology application demonstration project (Project No.2022-GH03-00017-HZ)National Natural Science Foundation of China 82120108014National Natural Science Foundation of China 82202110National Natural Science Foundation of China 82441007West China Hospital, Sichuan University 1.3.5 project for disciplines of excellence (Project No. ZYGD23003)
6 · The paper itself

Abstract

backgroundAbnormalities in large-scale brain functional networks are implicated in multiple sclerosis (MS) and linked to clinical impairments, but reported findings remain heterogeneous due to methodological and sample variations.

methodsBased on 25 resting-state functional magnetic resonance (rsfMRI) imaging studies (1,524 MS patients and 886 healthy controls (HCs)), in which the independent component analysis (ICA) method was used to evaluate the resting-state functional connectivity (rsFC) changes in default mode (DMN), sensorimotor (SMN), salience (SN), and visual (VN) networks, a meta-analysis was performed using the anisotropic effect size seed mapping (AES-SDM) software to quantify the differences between MS patients and HCs. The heterogeneity was assessed, and a meta-regression analysis was conducted on age, disease duration, Expanded Disability Status Scale scores, and T2-hyperintense lesion volume.

resultsCompared with HCs, MS exhibited increased rsFC in left anterior cingulate/paracingulate gyri and right superior frontal gyrus (DMN), bilateral precentral gyrus and right postcentral gyrus (SMN), right angular gyrus (SN), whereas hypoconnectivity was observed in left posterior cingulate gyrus (DMN), right supplementary motor region and left precentral gyrus (SMN), right insula (SN), and left superior parietal gyrus (VN). The Meta-regression analysis revealed no significant correlation between these altered rsFC and clinical variables. DATA

conclusionsThis study demonstrates widespread and complex rsFC abnormalities in several neural networks in MS, particularly within core regions of the DMN, SMN, VN, and SN. Together with a descriptive synthesis of additional RSNs, these rsFC disruptions and reorganizations may represent intrinsic neuropathological alterations in MS, which further elucidate the pathophysiological mechanisms of functional abnormalities in MS at a large-scale level.

Indexed as

BrainMagnetic Resonance ImagingMultiple SclerosisNerve NetBrain MappingHumansNeural PathwaysRestFunctional connectivityIndependent component analysisMeta-analysisMultiple sclerosisResting-state fMRI

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.