Evidence map›Paper›PMID 37891861›Full record

ArticleBrain sciences2023

Abnormal Topological Organization of Structural Covariance Networks in Patients with Temporal Lobe Epilepsy Comorbid Sleep Disorder.

Shengyu Yang, Ying Wu, Lanfeng Sun, Yuling Lu, Kai Qian, Huimin Kuang, Jie Meng, Yuan Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Shengyu YangDepartment of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.
Ying WuDepartment of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.
Lanfeng SunDepartment of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.
Yuling LuDepartment of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.
Kai QianDepartment of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.
Huimin KuangDepartment of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.
Jie MengDepartment of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.
Yuan WuDepartment of Neurology, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.

Funding

Natural Science Foundation of China 82360267
6 · The paper itself

Abstract

objectiveThe structural covariance network (SCN) alterations in patients with temporal lobe epilepsy and comorbid sleep disorder (PWSD) remain poorly understood. This study aimed to investigate changes in SCNs using structural magnetic resonance imaging.

methodsThirty-four PWSD patients, thirty-three patients with temporal lobe epilepsy without sleep disorder (PWoSD), and seventeen healthy controls underwent high-resolution structural MRI imaging. Subsequently, SCNs were constructed based on gray matter volume and analyzed via graph-theoretical approaches.

resultsPWSD exhibited significantly increased clustering coefficients, shortest path lengths, transitivity, and local efficiency. In addition, various distributions and numbers of SCN hubs were identified in PWSD. Furthermore, PWSD networks were less robust to random and target attacks than those of healthy controls and PWoSD patients.

conclusionThis study identifies aberrant SCN changes in PWSD that may be related to the susceptibility of patients with epilepsy to sleep disorders.

Indexed as

graph theorysleep disorderstructural covariance network (SCN)structural magnetic resonance imagingtemporal lobe epilepsy

Identifiers

PMID37891861
PMCPMC10605209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.