Evidence map›Paper›PMID 38562290›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2024

Weak coupling of neurons enables very high-frequency and ultra-fast oscillations through the interplay of synchronized phase shifts.

Lenka Přibylová, Jan Ševčík, Veronika Eclerová, Petr Klimeš, Milan Brázdil, Hil G E Meijer

Open access · goldAbstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2024. 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
1.8field-weighted citation impact, top 15% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Networks through the lens of high-frequency oscillations.Frontiers in network physiology · 2024
    Review
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 4 institutions in 2 countries.

Lenka PřibylováDepartment of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech Republic.ORCID https://orcid.org/0000-0002-9027-4333
Jan ŠevčíkDepartment of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech Republic.ORCID https://orcid.org/0000-0002-7073-1584
Veronika EclerováDepartment of Mathematics and Statistics, Faculty of Science, Masaryk University, Brno, Czech Republic.ORCID https://orcid.org/0000-0001-8476-7740
Petr KlimešInstitute of Scientific Instruments, The Czech Academy of Sciences, Brno, Czech Republic.
Milan BrázdilBrno Epilepsy Center, Dept. of Neurology, St. Anne's Univ. Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic, member of the ERN EpiCARE.ORCID https://orcid.org/0000-0001-7979-2343
Hil G E MeijerDepartment of Applied Mathematics, Techmed Centre, University of Twente, Enschede, The Netherlands.ORCID https://orcid.org/0000-0003-1526-3762
Masaryk University · CZCentral European Institute of Technology · CZCzech Academy of Sciences, Institute of Scientific Instruments · CZUniversity of Twente · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, in the past decade, high-frequency oscillations (HFOs), very high-frequency oscillations (VHFOs), and ultra-fast oscillations (UFOs) were reported in epileptic patients with drug-resistant epilepsy. However, to this day, the physiological origin of these events has yet to be understood. Our study establishes a mathematical framework based on bifurcation theory for investigating the occurrence of VHFOs and UFOs in depth EEG signals of patients with focal epilepsy, focusing on the potential role of reduced connection strength between neurons in an epileptic focus. We demonstrate that synchronization of a weakly coupled network can generate very and ultra high-frequency signals detectable by nearby microelectrodes. In particular, we show that a bistability region enables the persistence of phase-shift synchronized clusters of neurons. This phenomenon is observed for different hippocampal neuron models, including Morris-Lecar, Destexhe-Paré, and an interneuron model. The mechanism seems to be robust for small coupling, and it also persists with random noise affecting the external current. Our findings suggest that weakened neuronal connections could contribute to the production of oscillations with frequencies above 1000 Hz, which could advance our understanding of epilepsy pathology and potentially improve treatment strategies. However, further exploration of various coupling types and complex network models is needed.

Indexed as

BifurcationsEpilepsyNeuronal network modelPhase-shift synchronyUltra-fast oscillationsVery high-frequency oscillations

Identifiers

PMID38562290
PMCPMC10954350
OpenAlexW4389303222

What OpenQuestion holds

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LicenceCC BY
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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.