Evidence map›Paper›PMID 36727552›Full record

ArticleEpilepsia2023

A library of quantitative markers of seizure severity.

Sarah J Gascoigne, Leonard Waldmann, Gabrielle M Schroeder, Mariella Panagiotopoulou, Jess Blickwedel, Fahmida Chowdhury, Alison Cronie, Beate Diehl, John S Duncan, Jennifer Falconer and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Epilepsia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

19 authors at 4 institutions in 1 country.

Sarah J GascoigneComputational Neurology, Neuroscience & Psychiatry Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0003-1013-1875
Leonard WaldmannTechnical University Munich, Munich, Germany.
Gabrielle M SchroederComputational Neurology, Neuroscience & Psychiatry Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0003-2278-5227
Mariella PanagiotopoulouComputational Neurology, Neuroscience & Psychiatry Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Jess BlickwedelComputational Neurology, Neuroscience & Psychiatry Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Fahmida ChowdhuryUCL Queen Square Institute of Neurology, London, UK.
Alison CronieNHS Greater Glasgow and Clyde, Glasgow, UK.
Beate DiehlUCL Queen Square Institute of Neurology, London, UK.ORCID 0000-0002-6896-854X
John S DuncanUCL Queen Square Institute of Neurology, London, UK.
Jennifer FalconerNHS Greater Glasgow and Clyde, Glasgow, UK.
Ryan FaulderComputational Neurology, Neuroscience & Psychiatry Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0002-9783-3193
Yu GuanDepartment of Computer Science, University of Warwick, Warwick, UK.
Veronica LeachNHS Greater Glasgow and Clyde, Glasgow, UK.
Shona LivingstoneNHS Greater Glasgow and Clyde, Glasgow, UK.
Christoforos PapasavvasComputational Neurology, Neuroscience & Psychiatry Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Rhys H ThomasTechnical University Munich, Munich, Germany.ORCID 0000-0003-2062-8623
Kevin WilsonSchool of Mathematics, Statistics, and Physics, Newcastle University, Newcastle Upon Tyne, UK.
Peter N TaylorComputational Neurology, Neuroscience & Psychiatry Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0003-2144-9838
Yujiang WangComputational Neurology, Neuroscience & Psychiatry Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Newcastle University · GBNational Hospital for Neurology and Neurosurgery · GBNHS Greater Glasgow and Clyde · GBUniversity of Warwick · GB

Funding

Medical Research Council MR/T04294X/1Wellcome Trust
6 · The paper itself

Abstract

objectiveUnderstanding fluctuations in seizure severity within individuals is important for determining treatment outcomes and responses to therapy, as well as assessing novel treatments for epilepsy. Current methods for grading seizure severity rely on qualitative interpretations from patients and clinicians. Quantitative measures of seizure severity would complement existing approaches to electroencephalographic (EEG) monitoring, outcome monitoring, and seizure prediction. Therefore, we developed a library of quantitative EEG markers that assess the spread and intensity of abnormal electrical activity during and after seizures.

methodsWe analyzed intracranial EEG (iEEG) recordings of 1009 seizures from 63 patients. For each seizure, we computed 16 markers of seizure severity that capture the signal magnitude, spread, duration, and postictal suppression of seizures.

resultsQuantitative EEG markers of seizure severity distinguished focal versus subclinical seizures across patients. In individual patients, 53% had a moderate to large difference (rank sum SIGNIFICANCE: We demonstrate the feasibility of using quantitative iEEG markers to measure seizure severity. Our quantitative markers distinguish between seizure types and are therefore sensitive to established qualitative differences in seizure severity. Our results also suggest that seizure severity is modulated over different timescales. We envisage that our proposed seizure severity library will be expanded and updated in collaboration with the epilepsy research community to include more measures and modalities.

Indexed as

Epilepsies, PartialEpilepsyElectrocorticographyElectroencephalographyHumansSeizurescomputational neurophysiologyelectroencephalography (EEG)seizure severity

Identifiers

PMID36727552
PMCPMC10952709
OpenAlexW4318913147

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.