Evidence map›Paper›PMID 39096821›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2024

Network excitability of stimulation-induced spectral responses helps localize the seizure onset zone.

Mark A Hays, Amir H Daraie, Rachel J Smith, Sridevi V Sarma, Nathan E Crone, Joon Y Kang

Abstract read
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In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Optimization of cortico-cortical spectral response analysis parameters for seizure onset zone localization.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  4. Article
  5. Can electrical stimulation replace spontaneous seizures in epilepsy surgery?medRxiv : the preprint server for health sciences · 2025
    Article
  6. 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.

Mark A HaysDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: mhays6@jhmi.edu.
Amir H DaraieDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Rachel J SmithDepartment of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Neuroengineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Sridevi V SarmaDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA.
Nathan E CroneDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA.
Joon Y KangDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA.

Funding

Diagnostic validity and safety of high-gamma language mapping with intracranial EEGR01NS115929 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Ravindra Arya, NATHAN E CRONE · 2020 to 2026
$3.9M
EEG Biomarkers Derived from Dynamical Network Models Enable Rapid Paths to Accurate Diagnosis and Effective Treatment of EpilepsyR35NS132228 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Sridevi V. Sarma · 2023 to 2026
$2.6M
ASPIRE - A Joint Johns Hopkins, Morgan State and Coppin State IRACDA ProgramK12GM123914 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BROWN, LISA D., SARMA, SRIDEVI V. · 2018 to 2022
$2.5M
Establishing novel properties of dynamic systems models to identify epileptogenic networks in patients with drug resistant epilepsyR01NS122927 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Jorge Alvaro Gonzalez-Martinez, Sridevi V. Sarma · 2022 to 2026
$1.3M
NIGMS NIH HHS K12 GM123914NINDS NIH HHS R01 NS115929NINDS NIH HHS R01 NS122927NINDS NIH HHS R35 NS132228
6 · The paper itself

Abstract

objectiveWhile evoked potentials elicited by single pulse electrical stimulation (SPES) may assist seizure onset zone (SOZ) localization during intracranial EEG (iEEG) monitoring, induced high frequency activity has also shown promising utility. We aimed to predict SOZ sites using induced cortico-cortical spectral responses (CCSRs) as an index of excitability within epileptogenic networks.

methodsSPES was conducted in 27 epilepsy patients undergoing iEEG monitoring and CCSRs were quantified by significant early (10-200 ms) increases in power from 10 to 250 Hz. Using response power as CCSR network connection strengths, graph centrality measures (metrics quantifying each site's influence within the network) were used to predict whether sites were within the SOZ.

resultsAcross patients with successful surgical outcomes, greater CCSR centrality predicted SOZ sites and SOZ sites targeted for surgical treatment with median AUCs of 0.85 and 0.91, respectively. We found that the alignment between predicted and targeted SOZ sites predicted surgical outcome with an AUC of 0.79.

conclusionsThese findings indicate that network analysis of CCSRs can be used to identify increased excitability of SOZ sites and discriminate important surgical targets within the SOZ. SIGNIFICANCE: CCSRs may supplement traditional passive iEEG monitoring in seizure localization, potentially reducing the need for recording numerous seizures.

Indexed as

Electric StimulationSeizuresAdolescentAdultCerebral CortexElectrocorticographyElectroencephalographyEpilepsyEvoked PotentialsFemaleHumansMaleMiddle AgedNerve NetYoung AdultCortico-cortical evoked potentialCortico-cortical spectral responseIntracranial EEGSingle pulse electrical stimulationSurgical outcome

Identifiers

PMID39096821
PMCPMC11401764

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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.