Evidence map›Paper›PMID 41861446›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2026

Optimization of cortico-cortical spectral response analysis parameters for seizure onset zone localization.

Helen E Brinyark, Rebekah Chatfield, Caila A Coyne, Ryan West, Brittany H Scheid, Joshua J LaRocque, Arie Nakhmani, Benjamin C Cox, Erin C Conrad, Rachel J Smith

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Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2026. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Helen E BrinyarkDepartment of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Rebekah ChatfieldDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Caila A CoyneNeuroengineering Program, University of Alabama at Birmingham, Birmingham, AL, USA.
Ryan WestDepartment of Computer Science, University of Alabama at Birmingham, Birmingham, AL, USA.
Brittany H ScheidCadence Neuroscience, Inc., Redmond, WA, USA.
Joshua J LaRocqueDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Arie NakhmaniDepartment of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Benjamin C CoxDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA; Neurology Service, Birmingham VA Medical Center, Birmingham, AL, USA.
Erin C ConradDepartment of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
Rachel J SmithDepartment of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: rjsmith2@uab.edu.

Funding

Quantitative interictal networks to localize seizure generatorsK23NS121401 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Erin Conrad · 2022 to 2026
$1.2M
NINDS NIH HHS K23 NS121401
6 · The paper itself

Abstract

objectiveWhile cortico-cortical spectral responses (CCSRs) have shown potential for seizure onset zone (SOZ) localization, it is unclear which features of the CCSR are most localizing, limiting their use as potential biomarkers of the SOZ.

methodsSingle-pulse electrical stimulation (SPES) was performed during intracranial EEG (sEEG and ECoG) monitoring in 27 patients, and CCSRs were calculated. We quantified significant increases and decreases in the CCSR and then segmented the CCSRs into 11 time-frequency zones (TFZs). We compared brain regions with the most significant responses in each TFZ to the hypothesized SOZ to determine the localization potential of individual TFZs.

resultsWe found that the contacts having the strongest responses in the TFZ spanning the high gamma frequency band (50-250 Hz) and the N2 time interval (50-500 ms) were more related to the SOZ than other TFZs.

conclusionsThese findings suggest that changes in high gamma power 50-500 ms following SPES hold the greatest SOZ localizing potential and may be optimal parameters for investigating the CCSR for biomarkers of the SOZ. SIGNIFICANCE: Optimal interpretation of CCSRs may lead to improved SOZ localization and more favorable treatment outcomes for those with drug-resistant epilepsy.

Indexed as

Cerebral CortexElectrocorticographySeizuresAdolescentAdultChildElectric StimulationElectroencephalographyFemaleHumansMaleYoung AdultBiomarkerCortico-cortical evoked potentialCortico-cortical spectral responseDrug-resistant epilepsySeizure onset zone localizationSingle-pulse electrical stimulation

Identifiers

PMID41861446
PMCPMC13076043

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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.