Evidence map›Paper›PMID 28931825›Full record

ArticleScientific reports2017

Disrupted topological organization of structural brain networks in childhood absence epilepsy.

Wenchao Qiu, Chuanyong Yu, Yuan Gao, Ailiang Miao, Lu Tang, Shuyang Huang, Wenwen Jiang, Jintao Sun, Jing Xiang, Xiaoshan Wang

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00600717 (Localizing Functional Brain Cortices and Epileptogenic Zones With High Frequency Brain Signals), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT00600717 withdrawnnot on this map

Localizing Functional Brain Cortices and Epileptogenic Zones With High Frequency Brain Signals

TypeobservationalSponsorChildren's Hospital Medical Center, CincinnatiRan2000 to 2027Enrolled0ConditionsEpilepsy, Migraine, Headache, Pain
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Individualized morphological covariation network aberrance associated with seizure relapse after antiseizure medication withdrawal.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  2. Article
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  10. Altered Structural Network in Newly Onset Childhood Absence Epilepsy.Journal of clinical neurology (Seoul, Korea) · 2020
    Article
  11. Article
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  13. Article
  14. Review
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.

Wenchao QiuDepartment of Neurology, The Affiliated Huaian Hospital of Xuzhou Medical University, Huaian, China.
Chuanyong YuDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Yuan GaoDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Ailiang MiaoDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Lu TangDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Shuyang HuangDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Wenwen JiangDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Jintao SunDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.
Jing XiangDivision of Neurology, Cincinnati Children's Hospital Medical Center, Center, USA.
Xiaoshan WangDepartment of Neurology, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China. 873734205@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Childhood absence epilepsy (CAE) is the most common paediatric epilepsy syndrome and is characterized by frequent and transient impairment of consciousness. In this study, we explored structural brain network alterations in CAE and their association with clinical characteristics. A whole-brain structural network was constructed for each participant based on diffusion-weighted MRI and probabilistic tractography. The topological metrics were then evaluated. For the first time, we uncovered modular topology in CAE patients that was similar to healthy controls. However, the strength, efficiency and small-world properties of the structural network in CAE were seriously damaged. At the whole brain level, decreased strength, global efficiency, local efficiency, clustering coefficient, normalized clustering coefficient and small-worldness values of the network were detected in CAE, while the values of characteristic path length and normalized characteristic path length were abnormally increased. At the regional level, especially the prominent regions of the bilateral precuneus showed reduced nodal efficiency, and the reduction of efficiency was significantly correlated with disease duration. The current results demonstrate significant alterations of structural networks in CAE patients, and the impairments tend to grow worse over time. Our findings may provide a new way to understand the pathophysiological mechanism of CAE.

Indexed as

BrainChildChild, PreschoolEpilepsy, AbsenceFemaleHumansMagnetic Resonance ImagingMaleNerve Net

Identifiers

PMID28931825
PMCPMC5607318

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Registered trials

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.