Evidence map›Paper›PMID 41118267›Full record

ArticleEpilepsia2026

Zebrafish models of developmental epileptic encephalopathy accurately reflect clinical electrographic biomarkers.

Paige Whyte-Fagundes, Joseane Righes Marafiga, Bingyao Zhu, Scott C Baraban

Abstract read
In one paragraph

Article in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Paige Whyte-FagundesDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
Joseane Righes MarafigaDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
Bingyao ZhuDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
Scott C BarabanDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-1975-9781

Funding

ZEBRAFISH MODELS FOR DRAVET SYNDROME RESEARCH AND DISCOVERYR01NS096976 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARABAN, SCOTT C · 2016 to 2024
$3.9M
Deep Behavioral Phenotyping of Novel Zebrafish Epilepsy ModelsR21NS138525 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARABAN, SCOTT C · 2024 to 2025
$521k
NIH HHS R01 NS096976NIH HHS R21 NS138525NINDS NIH HHS R01 NS096976NINDS NIH HHS R21 NS138525
6 · The paper itself

Abstract

objectiveDevelopmental epileptic encephalopathies (DEEs) are epilepsy conditions characterized by significant severity and treatment challenges. Spectral components of the encephalogram (EEG) may provide a valuable biomarker of epileptic severity. Features of this signal include alterations in power spectral density, interictal epileptiform discharges, and high-frequency oscillations (HFOs). These findings largely derive from temporal lobe epilepsy patients and rodent models. Evidence for altered spectral EEG components in preclinical DEE models is rare. Here, we analyzed electrophysiology data from zebrafish genetically engineered to mimic human DEE conditions.

methodsLocal field potential (LFP) recordings from six zebrafish mutant lines (arxa, gabrb3, grin1b, pnpo, scn1lab, and strada) with recurrent ictal-like epileptiform discharges were analyzed. HFOs were identified using an automated MATLAB program (RippleLab). Fast Fourier transformations and analysis of interictal epileptiform discharges (IEDs) were also performed using MATLAB software.

resultsFast Fourier transform analysis of LFP signals revealed increased power in the delta frequency band (0.5-3.5 Hz) for scn1lab, grin1b, and gabrb3 mutant lines. We also report the consistent presence of HFO events (>250 Hz) and altered IED dynamics in arxa, gabrb3, grin1b, pnpo, scn1lab, and strada mutant lines. SIGNIFICANCE: This study provides compelling evidence that spectral signatures of abnormal brain activity commonly observed in humans can be recapitulated in larval zebrafish. These electrical events in zebrafish could serve as important biomarkers. These observations not only reinforce the value of zebrafish as an important preclinical animal model for epilepsy research but also suggest new avenues for deconstruction of pathological epileptic networks in an experimental setting.

Indexed as

Disease Models, AnimalElectroencephalographyEpilepsyAnimalsAnimals, Genetically ModifiedBiomarkersHumansZebrafishBiomarkersbiomarkerelectroencephalogramepilepsygeneticzebrafish

Identifiers

PMID41118267
PMCPMC12927678

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.