Evidence map›Paper›PMID 39976075›Full record

ArticleEpilepsia open2025

Intrinsic brain network stability during kainic acid-induced epileptogenesis.

Nastaran Jafari, Lingna He, Charbel Bou Khalil, Hsiang J Yeh, Neil G Harris, John M Stern, Jerome Engel, Anatol Bragin, Lin Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epilepsia open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Nastaran JafariDepartment of Biomedical Engineering, University of North Texas, Denton, Texas, USA.ORCID https://orcid.org/0000-0001-7542-2898
Lingna HeDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.ORCID https://orcid.org/0000-0001-6640-2350
Charbel Bou KhalilDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
Hsiang J YehDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
Neil G HarrisBrain Research Institute, University of California Los Angeles, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-1965-6750
John M SternDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-3549-1642
Jerome EngelDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
Anatol BraginDepartment of Neurology, University of California Los Angeles, Los Angeles, California, USA.
Lin LiDepartment of Biomedical Engineering, University of North Texas, Denton, Texas, USA.ORCID https://orcid.org/0000-0002-9996-9377

Funding

New Electrographic Biomarkers of EpileptogenesisR01NS065877 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRAGIN, ANATOL · 2010 to 2018
$4.0M
In Vivo Studies of the Epileptic HippocampusRF1NS033310 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ENGEL, JEROME NONE, STABA, RICHARD · 2023 to 2023
$3.6M
Strategy to Potentiate Rehabilitation after TBIR01NS116383 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HARRIS, NEIL · 2021 to 2025
$3.0M
New approach for identification pHFO networks to predict epileptogenesisR16NS131108 · NINDS · UNIVERSITY OF NORTH TEXAS · PI Lin Li · 2022 to 2026
$1.3M
NINDS NIH HHS 1R16-NS131108-01NINDS NIH HHS 2RF1NS033310-27NINDS NIH HHS R01 NS065877NINDS NIH HHS R01NS065877NINDS NIH HHS R01 NS116383NINDS NIH HHS R01NS116383NINDS NIH HHS R16 NS131108NINDS NIH HHS RF1 NS033310
6 · The paper itself

Abstract

objectiveAltered intrinsic brain networks have been revealed in patients with epilepsy and are strongly associated with network reorganization in the latent period. However, the development and reliability of intrinsic brain networks in the early period of epileptogenesis are not well understood. The current study aims to fill this gap by investigating the test-retest reliability of intrinsic brain networks in the early stage of epileptogenesis.

methodsWe used the rat intrahippocampal kainic acid model of mesial temporal lobe epilepsy. Three sessions of resting-state functional magnetic resonance imaging (rs-fMRI) data were acquired over a 2-week period from 9 sham control rats and 12 rats that later developed spontaneous epilepsy (KA). A group independent component analysis (GICA) approach was used to identify the intrinsic brain networks. Both within and between networks were identified, and test-retest reliability was assessed using the intraclass correlation coefficient (ICC).

resultsOur results showed good-to-excellent within-network stability of resting-state functional brain connectivity in most intrinsic brain networks in sham control rats and in the KA group, except for frontal cortex (FCN) and hippocampal networks (HPN). Further analysis of the between networks showed an increase in variation in the KA brain compared to the sham controls. SIGNIFICANCE: Overall, our study demonstrated a "moderately stable" phase of the intrinsic brain network in a 2-week latent period window, with an altered between- and within-network connectome feature. PLAIN LANGUAGE SUMMARY: This fMRI study explored how brain connectivity changes in healthy animals compared to animals in the latent period of epilepsy. We found that functional connectivity increased during the latent period compared to the control group, and this increase persisted across all tested sessions. Additionally, brain networks became less stable in the epilepsy group, particularly in the frontal cortex and hippocampus. These observations provide further insight into how brain networks change and persist during the early stages of epileptogenesis.

Indexed as

BrainEpilepsy, Temporal LobeKainic AcidNerve NetAnimalsDisease Models, AnimalHippocampusMagnetic Resonance ImagingMaleRatsRats, Sprague-DawleyReproducibility of ResultsKainic Acidbetween networkepilepsyfMRInetwork stabilityresting statetest–retestwithin network

Identifiers

PMID39976075
PMCPMC12014918

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.