Evidence map›Paper›PMID 25206721›Full record

ArticleNeural regeneration research2013

The role of local field potential coupling in epileptic synchronization.

Jiongxing Wu, Heng Yang, Yufeng Peng, Liangjuan Fang, Wen Zheng, Zhi Song

Open access · greenAbstract read
In one paragraph

Article in Neural regeneration research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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 at 1 institution in 1 country.

Jiongxing WuDepartment of Neurology, the Third Xiangya Hospital, Central South University, Changsha 410013, Hunan Province, China.
Heng YangDepartment of Neurology, the Third Xiangya Hospital, Central South University, Changsha 410013, Hunan Province, China.
Yufeng PengDepartment of Neurology, the Third Xiangya Hospital, Central South University, Changsha 410013, Hunan Province, China.
Liangjuan FangDepartment of Neurology, the Third Xiangya Hospital, Central South University, Changsha 410013, Hunan Province, China.
Wen ZhengDepartment of Neurology, the Third Xiangya Hospital, Central South University, Changsha 410013, Hunan Province, China.
Zhi SongDepartment of Neurology, the Third Xiangya Hospital, Central South University, Changsha 410013, Hunan Province, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

this review hopes to clearly explain the following viewpoints(1) Neuronal synchronization underlies brain functioning, and it seems possible that blocking excessive synchronization in an epileptic neural network could reduce or even control seizures. (2) Local field potential coupling is a very common phenomenon during synchronization in networks. Removal of neurons or neuronal networks that are coupled can significantly alter the extracellular field potential. Interventions of coupling mediated by local field potentials could result in desynchronization of epileptic seizures. (3) The synchronized electrical activity generated by neurons is sensitive to changes in the size of the extracellular space, which affects the efficiency of field potential transmission and the threshold of cell excitability. (4) Manipulations of the field potential fluctuations could help block synchronization at seizure onset.

Indexed as

cell excitation threshold valueepilepsyextracellular spacefield potentialsgrants-supported paperlocal potential couplingneural networkneural regenerationneuronsneuroregenerationreviewssynchronized discharge

Identifiers

PMID25206721
PMCPMC4146071
OpenAlexW2280960319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.