Evidence map›Paper›PMID 39677865›Full record

ArticleFrontiers in neurology2024

Ephaptic conduction in tonic-clonic seizures.

Avinoam Rabinovitch, Revital Rabinovitch, Ella Smolik, Yaacov Biton, Doron Braunstein

Abstract read
In one paragraph

Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

5 authors.

Avinoam RabinovitchDepartment of Physics, Ben-Gurion University, Beer-Sheva, Israel.
Revital RabinovitchMakif YudAlef, Rishon Lezion, Israel.
Ella SmolikDepartment of Physics, Sami Shamoon College of Engineering, Beer-Sheva, Israel.
Yaacov BitonDepartment of Physics, Ben-Gurion University, Beer-Sheva, Israel.
Doron BraunsteinDepartment of Physics, Sami Shamoon College of Engineering, Beer-Sheva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Electroencephalograms (EEGs) or multi-unit activities (MUAs) of tonic-clonic seizures typically exhibit a distinct structure. After a preliminary phase (DC shift, spikes), the tonic phase is characterized by synchronized activity of numerous neurons, followed by the clonic phase, marked by a periodic sequence of spikes. However, the mechanisms underlying the transition from tonic to clonic phases remain poorly understood. Methods: We employ a simple two-dimensional cellular automaton model to simulate seizure activity, specifically focusing on replicating the tonic-clonic transition. This model effectively illustrates the physical processes during the ictal phase and, more importantly, differentiates the roles of neurons' activity, identifying their origin as either synaptic or ephaptic. Results: Our model reveals an intriguing interaction between the synaptic and ephaptic modes of action potential wave conduction. By replicating the EEG and multi-unit activity (MUA) structure of a tonic-clonic seizure and comparing it with real MUA data, we validate the model's underlying assumption: the transition from tonic to clonic phases is driven by a shift in dominance from synaptic to ephaptic conduction. During synaptic-mode control, neural conduction occurs through synaptic transmission involving chemical substances, while in the ephaptic mode, information transfer occurs through direct Ohmic conduction. Significance: Gaining a deeper understanding of the neuronal electrical conduction transitions during tonic-clonic seizures is crucial for improving the treatment of this debilitating condition.

Indexed as

cellular automaton (CA)EEGephapticseizurestonic–clonic

Identifiers

PMID39677865
PMCPMC11638044

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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.