Evidence map›Paper›PMID 33166277›Full record

ArticlePLoS computational biology2020

Neural mass modeling of slow-fast dynamics of seizure initiation and abortion.

Elif Köksal Ersöz, Julien Modolo, Fabrice Bartolomei, Fabrice Wendling

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. A guide to neuromodulation in drug-resistant epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2026
    Review
  2. Article
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  11. Global dynamics of neural mass models.PLoS computational biology · 2023
    Article
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  13. Review
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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

4 authors.

Elif Köksal ErsözUniversity of Rennes, Inserm-U1099, LTSI, Rennes, France.ORCID 0000-0003-3696-7953
Julien ModoloUniversity of Rennes, Inserm-U1099, LTSI, Rennes, France.ORCID 0000-0002-5973-7571
Fabrice BartolomeiAix Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France.
Fabrice WendlingUniversity of Rennes, Inserm-U1099, LTSI, Rennes, France.ORCID 0000-0003-2428-9665

Funding

Manipulating multisite endogenous brain rhythms disrupts epileptic seizuresR01NS092760 · NINDS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI MOGUL, DAVID J · 2016 to 2020
$1.3M
NINDS NIH HHS R01 NS092760
6 · The paper itself

Abstract

Epilepsy is a dynamic and complex neurological disease affecting about 1% of the worldwide population, among which 30% of the patients are drug-resistant. Epilepsy is characterized by recurrent episodes of paroxysmal neural discharges (the so-called seizures), which manifest themselves through a large-amplitude rhythmic activity observed in depth-EEG recordings, in particular in local field potentials (LFPs). The signature characterizing the transition to seizures involves complex oscillatory patterns, which could serve as a marker to prevent seizure initiation by triggering appropriate therapeutic neurostimulation methods. To investigate such protocols, neurophysiological lumped-parameter models at the mesoscopic scale, namely neural mass models, are powerful tools that not only mimic the LFP signals but also give insights on the neural mechanisms related to different stages of seizures. Here, we analyze the multiple time-scale dynamics of a neural mass model and explain the underlying structure of the complex oscillations observed before seizure initiation. We investigate population-specific effects of the stimulation and the dependence of stimulation parameters on synaptic timescales. In particular, we show that intermediate stimulation frequencies (>20 Hz) can abort seizures if the timescale difference is pronounced. Those results have the potential in the design of therapeutic brain stimulation protocols based on the neurophysiological properties of tissue.

Indexed as

Models, NeurologicalAction PotentialsBrainComputational BiologyElectric Stimulation TherapyElectroencephalographyElectrophysiological PhenomenaEpilepsyHumansNeuronsSeizures

Identifiers

PMID33166277
PMCPMC7676664

What OpenQuestion holds

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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.