Evidence map›Paper›PMID 40096174›Full record

ArticleSensors (Basel, Switzerland)2025

Altered Directed-Connectivity Network in Temporal Lobe Epilepsy: A MEG Study.

Chen Zhang, Wenhan Hu, Yutong Wu, Guangfei Li, Chunlan Yang, Ting Wu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Chen ZhangCollege of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.ORCID 0009-0006-4425-7336
Wenhan HuDepartment of Neurosurgery, Tiantan Hospital, Beijing 100070, China.
Yutong WuCollege of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.ORCID 0009-0003-1433-8520
Guangfei LiCollege of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.
Chunlan YangCollege of Chemistry and Life Science, Beijing University of Technology, Beijing 100124, China.
Ting WuDepartment of Radiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210000, China.ORCID 0009-0006-2362-4694

Funding

Beijing Municipal Commission of Education KM201710005013Beijing Nova Program 20230484469Beijing Nova Program (CN) XX2016120China Postdoctoral Science Foundation 2022M720326Jiangsu Province Social Development Project BE2023795National Natural Science Foundation of China 31640035National Natural Science Foundation of China 82172022Natural Science Foundation of Beijing 4162008
6 · The paper itself

Abstract

Temporal lobe epilepsy (TLE) is considered a network disorder rather than a localized lesion, making it essential to study the network mechanisms underlying TLE. In this study, we constructed directed brain networks based on clinical MEG data using the Granger Causality Analysis (GCA) method, aiming to provide new insights into the network mechanisms of TLE. MEG data from 13 lTLE and 21 rTLE patients and 14 healthy controls (HCs) were analyzed. The preprocessed MEG data were used to construct directed brain networks using the GCA method and undirected brain networks using the Pearson Correlation Coefficient (PCC) method. Graph theoretical analysis extracted global and local topologies from the binary matrix, and SVM classified topologies with significant differences (

Indexed as

BrainEpilepsy, Temporal LobeMagnetoencephalographyNerve NetAdultFemaleHumansMaleMiddle AgedYoung Adultdirected connectivityGCAgraph theoretical analysisMEGSVMTLE

Identifiers

PMID40096174
PMCPMC11902853

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.