Evidence map›Paper›PMID 31168495›Full record

ArticleEpilepsia open2019

Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low-density EEG.

Ana Coito, Silke Biethahn, Janina Tepperberg, Margherita Carboni, Ulrich Roelcke, Margitta Seeck, Pieter van Mierlo, Markus Gschwind, Serge Vulliemoz

Abstract read
In one paragraph

Article in Epilepsia open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

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0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Ana CoitoDepartment of Neurology Cantonal Hospital Aarau Aarau Switzerland.
Silke BiethahnDepartment of Neurology Cantonal Hospital Aarau Aarau Switzerland.
Janina TepperbergDepartment of Neurology Cantonal Hospital Aarau Aarau Switzerland.
Margherita CarboniDepartment of Neurology University Hospital Geneva Geneva Switzerland.
Ulrich RoelckeDepartment of Neurology and Brain Tumor Center Cantonal Hospital Aarau Aarau Switzerland.
Margitta SeeckDepartment of Neurology University Hospital Geneva Geneva Switzerland.
Pieter van MierloDepartment of Electronics and Information Systems Ghent University Ghent Belgium.
Markus GschwindDepartment of Neurology Cantonal Hospital Aarau Aarau Switzerland.
Serge VulliemozDepartment of Neurology University Hospital Geneva Geneva Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveElectrical source imaging (ESI) is used increasingly to estimate the epileptogenic zone (EZ) in patients with epilepsy. Directed functional connectivity (DFC) coupled to ESI helps to better characterize epileptic networks, but studies on interictal activity have relied on high-density recordings. We investigated the accuracy of ESI and DFC for localizing the EZ, based on low-density clinical electroencephalography (EEG).

methodsWe selected patients with the following: (a) focal epilepsy, (b) interictal spikes on standard EEG, (c) either a focal structural lesion concordant with the electroclinical semiology or good postoperative outcome. In 34 patients (20 temporal lobe epilepsy [TLE], 14 extra-TLE [ETLE]), we marked interictal spikes and estimated the cortical activity during each spike in 82 cortical regions using a patient-specific head model and distributed linear inverse solution. DFC between brain regions was computed using Granger-causal modeling followed by network topologic measures. The concordance with the presumed EZ at the sublobar level was computed using the epileptogenic lesion or the resected area in postoperative seizure-free patients.

resultsESI, summed outflow, and efficiency were concordant with the presumed EZ in 76% of the patients, whereas the clustering coefficient and betweenness centrality were concordant in 70% of patients. There was no significant difference between ESI and connectivity measures. In all measures, patients with TLE had a significantly higher ( SIGNIFICANCE: ESI and DFC derived from low-density EEG can reliably estimate the EZ from interictal spikes. Connectivity measures were not superior to ESI for EZ localization during interictal spikes, but the current validation of the localization of connectivity measure is promising for other applications.

Indexed as

directed functional connectivityelectrical source imagingepileptogenic zonefocal epilepsylow‐density EEG

Identifiers

PMID31168495
PMCPMC6546067

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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.