Evidence map›Paper›PMID 36536272›Full record

ArticleBMC neuroscience2022

Dynamic effect of electromagnetic induction on epileptic waveform.

Yuqin Sun, Yuting Chen, Hudong Zhang, Yuan Chai

Abstract read
In one paragraph

Article in BMC neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yuqin SunSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, 201306, China.
Yuting ChenSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, 201306, China.
Hudong ZhangSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, 201306, China.
Yuan ChaiSchool of Mathematics and Physics, Shanghai University of Electric Power, Shanghai, 201306, China. chaiyuan@shiep.edu.cn.ORCID 0000-0001-9207-6421

Funding

National Natural Science Foundation of China 11502139National Natural Science Foundation of China 11871377National Natural Science Foundation of China 12071274
6 · The paper itself

Abstract

backgroundElectromagnetic induction has recently been considered as an important factor affecting the activity of neurons. However, as an important form of intervention in epilepsy treatment, few people have linked the two, especially the related dynamic mechanisms have not been explained clearly.

methodsConsidering that electromagnetic induction has some brain area dependence, we proposed a modified two-compartment cortical thalamus model and set eight different key bifurcation parameters to study the transition mechanisms of epilepsy. We compared and analyzed the application and getting rid of memristors of single-compartment and coupled models. In particular, we plotted bifurcation diagrams to analyze the dynamic mechanisms behind abundant discharge activities, which mainly involved Hopf bifurcations (HB), fold of cycle bifurcations (LPC) and torus bifurcations (TR).

resultsThe results show that the coupled model can trigger more discharge states due to the driving effect between compartments. Moreover, the most remarkable finding of this study is that the memristor shows two sides. On the one hand, it may reduce tonic discharges. On the other hand, it may cause new pathological states.

conclusionsThe work explains the control effect of memristors on different brain regions and lays a theoretical foundation for future targeted therapy. Finally, it is hoped that our findings will provide new insights into the role of electromagnetic induction in absence seizures.

Indexed as

Epilepsy, AbsenceBrainElectroencephalographyElectromagnetic PhenomenaHumansNeuronsSeizuresAbsence seizuresCoupled modelElectromagnetic inductionHopf bifurcationSpike and wave discharges

Identifiers

PMID36536272
PMCPMC9764561

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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.