Evidence map›Paper›PMID 25786256›Full record

ArticlePloS one2015

Anomalous gray matter structural networks in patients with hepatitis B virus-related cirrhosis without overt hepatic encephalopathy.

Xiao-Fei Lv, Kai Liu, Ying-Wei Qiu, Pei-Qiang Cai, Jing Li, Gui-Hua Jiang, Yan-Jia Deng, Xue-Lin Zhang, Pei-Hong Wu, Chuan-Miao Xie and 1 more

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Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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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

11 authors.

Xiao-Fei LvImaging and Interventional Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China.
Kai LiuMedical Imaging Centre, Nanfang Hospital, Southern Medial University, Guangzhou, People's Republic of China.
Ying-Wei QiuDepartment of medical imaging, The First Affiliated Hospital of Gannan Medical University, Ganzhou, People's Republic of China; Department of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, Guangzhou, People's Republic of China.
Pei-Qiang CaiImaging and Interventional Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China.
Jing LiImaging and Interventional Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China.
Gui-Hua JiangDepartment of Medical Imaging, Guangdong No. 2 Provincial People's Hospital, Guangzhou, People's Republic of China.
Yan-Jia DengMedical Imaging Centre, Nanfang Hospital, Southern Medial University, Guangzhou, People's Republic of China.
Xue-Lin ZhangMedical Imaging Centre, Nanfang Hospital, Southern Medial University, Guangzhou, People's Republic of China.
Pei-Hong WuImaging and Interventional Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China.
Chuan-Miao XieImaging and Interventional Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China.
Ge WenMedical Imaging Centre, Nanfang Hospital, Southern Medial University, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIncreasing evidence suggests that cirrhosis may affect the connectivity among different brain regions in patients before overt hepatic encephalopathy (OHE) occurs. However, there has been no study investigating the structural reorganization of these altered connections at the network level. The primary focus of this study was to investigate the abnormal topological organization of the structural network in patients with hepatitis B virus-related cirrhosis (HBV-RC) without OHE using structural MRI.

methodsUsing graph theoretical analysis, we compared the global and regional topological properties of gray matter structural networks between 28 patients with HBV-RC without OHE and 30 age-, sex- and education-matched healthy controls. The structural correlation networks were constructed for the two groups based on measures of gray matter volume.

resultsThe brain network of the HBV-RC group exhibited a significant decrease in the clustering coefficient and reduced small-worldness at the global level across a range of network densities. Regionally, brain areas with altered nodal degree/betweenness centrality were observed predominantly in association cortices (frontal and temporal regions) (p < 0.05, uncorrected), including a significantly decreased nodal degree in the inferior temporal gyrus (p < 0.001, uncorrected). Furthermore, the HBV-RC group exhibited a loss of association hubs and the emergence of an increased number of non-association hubs compared with the healthy controls.

conclusionThe results of this large-scale gray matter structural network study suggest reduced topological organization efficiency in patients with HBV-RC without OHE. Our findings provide new insight concerning the mechanisms of neurobiological reorganization in the HBV-RC brain from a network perspective.

Indexed as

AdultAgedFemaleGray MatterHepatic EncephalopathyHepatitis BHumansLiver CirrhosisMagnetic Resonance ImagingMaleMiddle AgedNerve Net

Identifiers

PMID25786256
PMCPMC4364769

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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.