Evidence map›Paper›PMID 40281747›Full record

ArticleBioengineering (Basel, Switzerland)2025

Altered Effective Connectivity of the Attentional Network in Temporal Lobe Epilepsy with EEG Data.

Xiaojie Wei, Haojun Yang, Ruochen Dang, Bingliang Hu, Li Feng, Yuanyuan Xie, Quan Wang

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. 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

7 authors.

Xiaojie WeiKey Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi' an 710119, China.
Haojun YangDepartment of Anesthesiology, Xiangya Hospital of Central South University, Changsha 410008, China.
Ruochen DangKey Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi' an 710119, China.
Bingliang HuKey Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi' an 710119, China.
Li FengDepartment of Neurology, Xiangya Hospital of Central South University, Changsha 410008, China.ORCID 0000-0001-7658-1399
Yuanyuan XieDepartment of Neurology, Xiangya Hospital of Central South University, Changsha 410008, China.
Quan WangKey Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, Xi' an 710119, China.ORCID 0000-0003-4826-2408

Funding

the Key Laboratory of Biomedical Spectroscopy of Xi'an 201805050ZD1CG34the Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Me-chanics of the Chinese Academy of Sciences 54S18-014the Outstanding Award for Talent Project of the Chinese Academy of Sciences 29J20-052-III
6 · The paper itself

Abstract

Existing studies have shown that the attentional function of epilepsy is prone to be impaired. However, the characterization of brain connectivity behind this impairment remains uncertain. This study investigates attention-related brain connectivity in 92 patients with temporal lobe epilepsy and 78 healthy controls using a 32-channel EEG monitor during an attention network test. Compared to controls, patients showed reduced temporal-occipital connectivity in the alerting and orienting networks, but increased frontal-occipital connectivity in the executive network. Additionally, this study showed that patients and healthy individuals exhibited similar network topologies in the alerting and orienting networks, but the executive networks in patients showed altered topology properties, with a larger clustering coefficient in the theta band and a longer characteristic path length in the delta and theta bands. These findings reveal distinct characteristics of attention network connectivity in patients with temporal lobe epilepsy, offering valuable insights into the underlying mechanisms of epilepsy and providing clinical guidance for long-term monitoring and intervention.

Indexed as

attention network testdirected transfer functionelectroencephalographygraphic theoretical analysistemporal lobe epilepsy

Identifiers

PMID40281747
PMCPMC12025012

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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.