Evidence map›Paper›PMID 34652579›Full record

ArticleBrain topography2021

Resting-State MEG Source Space Network Metrics Associated with the Duration of Temporal Lobe Epilepsy.

Junpeng Zhang, Jingwen Feng, Yifan Zhang, Site Mo, Jingjing Dong, Haitao Zhu, Ling Zhang, Ting Wu, Yuan Cui, Duo Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Brain topography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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 6 institutions in 1 country.

Junpeng ZhangDepartment of Medical Information and Engineering, College of Electrical Engineering, Sichuan University, Chengdu, China.
Jingwen FengDepartment of Medical Information and Engineering, College of Electrical Engineering, Sichuan University, Chengdu, China.
Yifan ZhangDepartment of Medical Information and Engineering, College of Electrical Engineering, Sichuan University, Chengdu, China.
Site MoDepartment of Medical Information and Engineering, College of Electrical Engineering, Sichuan University, Chengdu, China.
Jingjing DongThe Key Laboratory of Aerospace Medicine, Ministry of Education, Air Force Medical University, Xi'an, China.
Haitao ZhuDepartment of Neurosurgery, Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.
Ling ZhangSchool of Biomedical Engineering, Hubei University of Science and Technology, Xianning, China.
Ting WuDepartment of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China. lvwu123@163.com.
Yuan CuiDepartment of Medical Information Engineering, Chengdu Medical College, Chengdu, China. 12724649@qq.com.
Duo ChenSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, China. 380013@njucm.edu.cn.ORCID http://orcid.org/0000-0001-7451-7764
Sichuan University · CNNanjing University of Chinese Medicine · CNChengdu Medical College · CNHubei University of Science and Technology · CNNanjing Brain Hospital · CNPLA Army Service Academy · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the relationship between the network metrics of 68 brain regions and duration of temporal lobe epilepsy (TLE). Magnetoencephalography (MEG) data from 53 patients with TLE (28 left TLE, 25 right TLE) were recorded between seizures at resting state and analyzed in six frequency bands: delta (0.1-4 Hz), theta (4-8 Hz), lower alpha (8-10 Hz), upper alpha (10-13 Hz), beta (13-30 Hz), and lower gamma (30-48 Hz). Three local network metrics, betweenness centrality, nodal degree, and nodal efficiency, were chosen to analyze the functional brain network. In Left, Right, and All (Left + Right) TLE groups, different metrics provide significant positive or negative correlations with the duration of TLE, in different frequency bands, and in different brain regions. In the Left TLE group, significant correlation between TLE duration and metric exists in the delta, beta, or lower gamma band, with network betweenness centrality, nodal degree, or nodal efficiency, in left caudal middle frontal, left middle temporal, or left supramarginal. In the Right TLE group, significant correlation exists in lower gamma or delta band, with nodal degree, or nodal efficiency, in left precuneus or right temporal pole. In the All TLE group, the significant correlation exists in delta, theta, beta, or lower gamma band, with nodal degree, or betweenness centrality, in either left or right hemisphere. Network metrics for some specific brain regions changed in patients with TLE as the duration of their TLE increased. Further researching these changes may be important for studying the pathogenesis, presurgical evaluation, and clinical treatment of long-term TLE.

Indexed as

Epilepsy, Temporal LobeMagnetoencephalographyBrainBrain MappingHumansMagnetic Resonance ImagingBrain networkFunctional connectivityMagnetoencephalographyTemporal lobe epilepsy

Identifiers

PMID34652579
OpenAlexW3205341041

What OpenQuestion holds

Textmetadata
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.