Evidence map›Paper›PMID 30233301›Full record

ArticleFrontiers in neuroscience2018

The Abnormality of Topological Asymmetry in Hemispheric Brain Anatomical Networks in Bipolar Disorder.

Bin Wang, Ting Li, Mengni Zhou, Shuo Zhao, Yan Niu, Xin Wang, Ting Yan, Rui Cao, Jie Xiang, Dandan Li

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Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Bin WangCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Ting LiCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Mengni ZhouCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Shuo ZhaoFaculty of Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yan NiuCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Xin WangCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Ting YanTranslational Medicine Research Center, Shanxi Medical University, Taiyuan, China.
Rui CaoCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Jie XiangCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.
Dandan LiCollege of Information and Computer, Taiyuan University of Technology, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Convergent evidences have demonstrated a variety of regional abnormalities of asymmetry in bipolar disorder (BD). However, little is known about the alterations in hemispheric topological asymmetries. In this study, we used diffusion tensor imaging to construct the hemispheric brain anatomical network of 49 patients with BD and 61 matched normal controls. Graph theory was then applied to quantify topological properties of the hemispheric networks. Although small-world properties were preserved in the hemispheric networks of BD, the degrees of the asymmetry in global efficiency, characteristic path length, and small-world property were significantly decreased. More changes in topological properties of the right hemisphere than those of left hemisphere were found in patients compared with normal controls. Consistent with such changes, the nodal efficiency in patients with BD also showed less rightward asymmetry mainly in the frontal, occipital, parietal, and temporal lobes. In contrast to leftward asymmetry, significant rightward asymmetry was found in supplementary motor area of BD, and attributed to more deficits in nodal efficiency of the left hemisphere. Finally, these asymmetry score of nodal efficiency in the inferior parietal lobule and rolandic operculum were significantly associated with symptom severity of BD. Our results suggested that abnormal hemispheric asymmetries in brain anatomical networks were associated with aberrant neurodevelopment, and providing insights into the potential neural biomarkers of BD by measuring the topological asymmetry in hemispheric brain anatomical networks.

Indexed as

bipolar disorderdiffusion tensor imaginggraph theoryhemispheric asymmetrystructural connectivity

Identifiers

PMID30233301
PMCPMC6129594

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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.