Evidence map›Paper›PMID 38294728›Full record

ArticleNeuroradiology2024

Altered whole-brain functional network in patients with frontal low-grade gliomas: a resting-state functional MRI study.

Kun Lv, Yue Hu, Xin Cao, Yongsheng Xie, Junyan Fu, Hongyi Chen, Ji Xiong, Li Zhu, Daoying Geng, Jun Zhang

Abstract read
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In one paragraph

Article in Neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Kun LvDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0003-4967-3727
Yue HuDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Xin CaoDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Yongsheng XieDepartment of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
Junyan FuDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China.
Hongyi ChenAcademy for Engineering and Technology, Fudan University, Shanghai, China.
Ji XiongDepartment of Pathology, Huashan Hospital, Fudan University, Shanghai, China.
Li ZhuDepartment of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, 241 West Huaihai Road, Shanghai, China. augjuly@aliyun.com.
Daoying GengDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China. gdy_2019@163.com.ORCID http://orcid.org/0000-0002-3585-6883
Jun ZhangDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, China. zhangjun_zj@fudan.edu.cn.ORCID http://orcid.org/0000-0003-1849-9199
Fudan University · CNShanghai Medical College of Fudan University · CNNantong University · CNShanghai Jiao Tong University · CN

Funding

Greater Bay Area Institute of Precision Medicine (Guangzhou) KCH2310094National Natural Science Foundation of China 82372048Research Startup Fund of Huashan Hospital, Fudan University 2021QD035Science and Technology Commission of Shanghai Municipality 22S31905300Science and Technology Commission of Shanghai Municipality 22TS1400900Science and Technology Commission of Shanghai Municipality 22ZR1409500Science and Technology Commission of Shanghai Municipality 23S31904100Shanghai Sailing Program 22YF1405000
6 · The paper itself

Abstract

purposeGliomas are the most common primary brain tumor. Currently, topological alterations of whole-brain functional network caused by gliomas are not fully understood. The work here clarified the topological reorganization of the functional network in patients with unilateral frontal low-grade gliomas (LGGs).

methodsA total of 45 patients with left frontal LGGs, 19 with right frontal LGGs, and 25 healthy controls (HCs) were enrolled. All the resting-state functional MRI (rs-fMRI) images of the subjects were preprocessed to construct the functional network matrix, which was used for graph theoretical analysis. A two-sample t-test was conducted to clarify the differences in global and nodal network metrics between patients and HCs. A network-based statistic approach was used to identify the altered specific pairs of regions in which functional connectivity in patients with LGGs.

resultsThe local efficiency, clustering coefficient, characteristic path length, and normalized characteristic path length of patients with unilateral frontal LGGs were significantly lower than HCs, while there were no significant differences of global efficiency and small-worldness between patients and HCs. Compared with the HCs, betweenness centrality, degree centrality, and nodal efficiency of several brain nodes were changed significantly in patients. Around the tumor and its adjacent areas, the inter- and intra-hemispheric connections were significantly decreased in patients with left frontal LGGs.

conclusionThe patients with unilateral frontal LGGs have altered global and nodal network metrics and decreased inter- and intra-hemispheric connectivity. These topological alterations may be involved in functional impairment and compensation of patients.

Indexed as

Brain MappingGliomaBrainHumansMagnetic Resonance ImagingNerve NetFunctional connectivityGliomasMagnetic resonance imagingNeural networksTopology

Identifiers

PMID38294728
OpenAlexW4391400965

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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.