Evidence map›Paper›PMID 36938790›Full record

ArticleEpilepsia open2023

Feasibility of high-density electric source imaging in the presurgical workflow: Effect of number of spikes and automated spike detection.

Ev-Christin Heide, Daniel van de Velden, David Garnica Agudelo, Manuel Hewitt, Christian Riedel, Niels K Focke

Abstract read
In one paragraph

Article in Epilepsia open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Ev-Christin HeideDepartment of Neurology, University Medical Center, Georg-August University, Göttingen, Germany.ORCID 0000-0003-4511-1022
Daniel van de VeldenDepartment of Neurology, University Medical Center, Georg-August University, Göttingen, Germany.ORCID 0000-0003-2834-4457
David Garnica AgudeloDepartment of Neurology, University Medical Center, Georg-August University, Göttingen, Germany.ORCID 0000-0002-1527-2290
Manuel HewittDepartment of Neurology, University Medical Center, Georg-August University, Göttingen, Germany.
Christian RiedelInstitute for Diagnostic and Interventional Neuroradiology, University Medical Center, Georg-August University, Göttingen, Germany.
Niels K FockeDepartment of Neurology, University Medical Center, Georg-August University, Göttingen, Germany.ORCID 0000-0001-5486-6289

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePresurgical high-density electric source imaging (hdESI) of interictal epileptic discharges (IEDs) is only used by few epilepsy centers. One obstacle is the time-consuming workflow both for recording as well as for visual review. Therefore, we analyzed the effect of (a) an automated IED detection and (b) the number of IEDs on the accuracy of hdESI and time-effectiveness.

methodsIn 22 patients with pharmacoresistant focal epilepsy receiving epilepsy surgery (Engel 1) we retrospectively detected IEDs both visually and semi-automatically using the EEG analysis software Persyst in 256-channel EEGs. The amount of IEDs, the Euclidean distance between hdESI maximum and resection zone, and the operator time were compared. Additionally, we evaluated the intra-individual effect of IED quantity on the distance between hdESI maximum of all IEDs and hdESI maximum when only a reduced amount of IEDs were included.

resultsThere was no significant difference in the number of IEDs between visually versus semi-automatically marked IEDs (74 ± 56 IEDs/patient vs 116 ± 115 IEDs/patient). The detection method of the IEDs had no significant effect on the mean distances between resection zone and hdESI maximum (visual: 26.07 ± 31.12 mm vs semi-automated: 33.6 ± 34.75 mm). However, the mean time needed to review the full datasets semi-automatically was shorter by 275 ± 46 min (305 ± 72 min vs 30 ± 26 min, P < 0.001). The distance between hdESI of the full versus reduced amount of IEDs of the same patient was smaller than 1 cm when at least a mean of 33 IEDs were analyzed. There was a significantly shorter intraindividual distance between resection zone and hdESI maximum when 30 IEDs were analyzed as compared to the analysis of only 10 IEDs (P < 0.001). SIGNIFICANCE: Semi-automatized processing and limiting the amount of IEDs analyzed (~30-40 IEDs per cluster) appear to be time-saving clinical tools to increase the practicability of hdESI in the presurgical work-up.

Indexed as

EpilepsyMagnetic Resonance ImagingFeasibility StudiesHumansRetrospective StudiesWorkflowamount of IEDsautomationelectric source imagingfocal epilepsyhigh-density EEGPresurgical evaluation

Identifiers

PMID36938790
PMCPMC10472417

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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.