Evidence map›Paper›PMID 38820468›Full record

ArticleNeurology2024

EEG Ictal Power Dynamics, Function-Structure Associations, and Epilepsy Surgical Outcomes.

Ruxue Gong, Rebecca W Roth, Allen J Chang, Nishant Sinha, Alexandra Parashos, Kathryn A Davis, Ruben Kuzniecky, Leonardo Bonilha, Ezequiel Gleichgerrcht

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In one paragraph

Article in Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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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.

Ruxue GongFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.ORCID 0000-0003-4708-6414
Rebecca W RothFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.
Allen J ChangFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.
Nishant SinhaFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.ORCID 0000-0002-2090-4889
Alexandra ParashosFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.
Kathryn A DavisFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.ORCID 0000-0002-7020-6480
Ruben KuznieckyFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.
Leonardo BonilhaFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.
Ezequiel GleichgerrchtFrom the Department of Neurology (R.G., R.W.R., E.G.), School of Medicine, Emory University, Atlanta, GA; Department of Neurology (A.J.C., A.P.), Medical University of South Carolina, Charleston; Department of Neurology (N.S., K.A.D.), University of Pennsylvania, Philadelphia; Department of Neurology (R.K.), Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY; and Department of Neurology (L.B.), School of Medicine, University of South Carolina, Columbia.ORCID 0000-0002-4212-4146

Funding

Optimized Intracranial EEG Targeting in Focal Epilepsy based upon Neuroimaging ConnectomicsR01NS116504 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2021 to 2025
$3.3M
NINDS NIH HHS R01 NS116504
6 · The paper itself

Abstract

BACKGROUND AND

objectivesPostoperative seizure control in drug-resistant temporal lobe epilepsy (TLE) remains variable, and the causes for this variability are not well understood. One contributing factor could be the extensive spread of synchronized ictal activity across networks. Our study used novel quantifiable assessments from intracranial EEG (iEEG) to test this hypothesis and investigated how the spread of seizures is determined by underlying structural network topological properties.

methodsWe evaluated iEEG data from 157 seizures in 27 patients with TLE: 100 seizures from 17 patients with postoperative seizure control (Engel score I) vs 57 seizures from 10 patients with unfavorable surgical outcomes (Engel score II-IV). We introduced a quantifiable method to measure seizure power dynamics within anatomical regions, refining existing seizure imaging frameworks and minimizing reliance on subjective human decision-making. Time-frequency power representations were obtained in 6 frequency bands ranging from theta to gamma. Ictal power spectrums were normalized against a baseline clip taken at least 6 hours away from ictal events. Electrodes' time-frequency power spectrums were then mapped onto individual T1-weighted MRIs and grouped based on a standard brain atlas. We compared spatiotemporal dynamics for seizures between groups with favorable and unfavorable surgical outcomes. This comparison included examining the range of activated brain regions and the spreading rate of ictal activities. We then evaluated whether regional iEEG power values were a function of fractional anisotropy (FA) from diffusion tensor imaging across regions over time.

resultsSeizures from patients with unfavorable outcomes exhibited significantly higher maximum activation sizes in various frequency bands. Notably, we provided quantifiable evidence that in seizures associated with unfavorable surgical outcomes, the spread of beta-band power across brain regions is significantly faster, detectable as early as the first second after seizure onset. There was a significant correlation between beta power during seizures and FA in the corresponding areas, particularly in the unfavorable outcome group. Our findings further suggest that integrating structural and functional features could improve the prediction of epilepsy surgical outcomes. DISCUSSION: Our findings suggest that ictal iEEG power dynamics and the structural-functional relationship are mechanistic factors associated with surgical outcomes in TLE.

Indexed as

Drug Resistant EpilepsyElectroencephalographyEpilepsy, Temporal LobeAdolescentAdultBrainElectrocorticographyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSeizuresTreatment OutcomeYoung Adult

Identifiers

PMID38820468
PMCPMC13446116

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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.