Evidence map›Paper›PMID 40848514›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2025

Stronger pre-surgical functional connectivity networks are associated with improved surgical outcome in temporal lobe epilepsy.

Brian C Jung, Victoria Ho, Josh Abata, Sebastian Hanna, Kurt Qing, Doris Deng, Sumeet Vadera, Lilit Mnatsakanyan, Mona Sazgar, David King-Stephens and 2 more

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Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Brian C JungDepartment of Neurology, University of California, Irvine, CA, USA. Electronic address: jungch@hs.uci.edu.
Victoria HoDepartment of Neurology, University of California, Los Angeles, CA, USA.
Josh AbataDepartment of Neurology, University of California, Irvine, CA, USA.
Sebastian HannaDepartment of Neurology, University of California, Irvine, CA, USA.
Kurt QingDepartment of Neurology, University of California, Irvine, CA, USA; Department of Biomedical Engineering, University of California, Irvine, CA, USA.
Doris DengDepartment of Neurology, University of California, Irvine, CA, USA.
Sumeet VaderaDepartment of Neurosurgery, University of California, Irvine, CA, USA.
Lilit MnatsakanyanDepartment of Neurology, University of California, Irvine, CA, USA.
Mona SazgarDepartment of Neurology, University of California, Irvine, CA, USA.
David King-StephensDepartment of Neurology, University of California, Irvine, CA, USA.
Daniel W ShreyDivision of Neurology, Children's Hospital Orange County, CA, USA; Department of Pediatrics, University of California, Irvine, CA, USA.
Beth A LopourDepartment of Biomedical Engineering, University of California, Irvine, CA, USA.

Funding

Institute for Clinical and Translational ScienceUM1TR004927 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DAN M COOPER, Eric J. Vilain · 2024 to 2026
$12.2M
NCATS NIH HHS UM1 TR004927
6 · The paper itself

Abstract

objectiveThis study investigates the network differences in pre-surgical resting-state EEG between individuals with unilateral temporal lobe epilepsy who become seizure-free and those who continue to have seizures after epilepsy surgery.

methodsWe retrospectively identified 15 individuals with unilateral TLE who were seizure-free (SF) after epilepsy surgery and 13 who continued to have seizures post-surgery (nSF). Functional connectivity was measured using cross-correlation techniques on clips of resting-state scalp EEG that were free of any visually apparent epileptiform abnormalities.

resultsStronger pre-surgical functional connectivity was associated with favorable post-surgical outcomes. The SF group demonstrated significantly higher connectivity strength, particularly in cross-hemispheric and intra-hemispheric networks involving the ictal hemisphere (P = 0.02). Functional connectivity strength predicted post-surgical seizure freedom with 75 % accuracy (AUC = 0.77). Notably, individuals with the strongest connectivity were all seizure-free, despite heterogeneity in clinical characteristics or imaging findings. Connectivity strength did not correlate with age, disease duration, hippocampal sclerosis, or bilateral epileptiform abnormalities.

conclusionFunctional connectivity networks derived from visually normal EEG can provide non-invasive, non-redundant information beyond traditional assessments to predict post-surgical outcomes. SIGNIFICANCE: This study further supports the concept that epilepsy is a disorder of neural networks.

Indexed as

Epilepsy, Temporal LobeNerve NetAdultElectroencephalographyFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeYoung AdultEpilepsy surgeryFunctional connectivityPrognosticationQuantitative EEGTemporal lobe epilepsy

Identifiers

PMID40848514
PMCPMC13108936

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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.