Evidence map›Paper›PMID 37226553›Full record

ArticleEpilepsia2023

Temporal stability of intracranial electroencephalographic abnormality maps for localizing epileptogenic tissue.

Yujiang Wang, Gabrielle M Schroeder, Jonathan J Horsley, Mariella Panagiotopoulou, Fahmida A Chowdhury, Beate Diehl, John S Duncan, Andrew W McEvoy, Anna Miserocchi, Jane de Tisi and 1 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-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

13 citing papers in PubMed, 15 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

11 authors at 2 institutions in 1 country.

Yujiang WangCNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Gabrielle M SchroederCNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0003-2278-5227
Jonathan J HorsleyCNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Mariella PanagiotopoulouCNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Fahmida A ChowdhuryUCL Queen Square Institute of Neurology, Queen Square, London, UK.
Beate DiehlUCL Queen Square Institute of Neurology, Queen Square, London, UK.ORCID 0000-0002-6896-854X
John S DuncanUCL Queen Square Institute of Neurology, Queen Square, London, UK.
Andrew W McEvoyUCL Queen Square Institute of Neurology, Queen Square, London, UK.
Anna MiserocchiUCL Queen Square Institute of Neurology, Queen Square, London, UK.
Jane de TisiUCL Queen Square Institute of Neurology, Queen Square, London, UK.
Peter N TaylorCNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID 0000-0003-2144-9838
National Hospital for Neurology and Neurosurgery · GBNewcastle University · GB

Funding

SUDEP Translational Research Alliance (SUTRA): Autonomic and Imaging Biomarkers of SUDEP; SUTRA 3 of 7U01NS090407 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DIEHL, BEATE, HARPER, RONALD MARVEN · 2014 to 2018
$7.3M
Department of HealthMedical Research Council MR/T04294X/1Medical Research Council MR/V026569/1NINDS NIH HHS U01 NS090407NINDS NIH HHS U01-NS090407
6 · The paper itself

Abstract

objectiveIdentifying abnormalities on interictal intracranial electroencephalogram (iEEG), by comparing patient data to a normative map, has shown promise for the localization of epileptogenic tissue and prediction of outcome. The approach typically uses short interictal segments of approximately 1 min. However, the temporal stability of findings has not been established.

methodsHere, we generated a normative map of iEEG in nonpathological brain tissue from 249 patients. We computed regional band power abnormalities in a separate cohort of 39 patients for the duration of their monitoring period (.92-8.62 days of iEEG data, mean = 4.58 days per patient, >4800 hours recording). To assess the localizing value of band power abnormality, we computed

resultsIn each patient, the SIGNIFICANCE: Our results suggest that band power abnormality D_RS, as a predictor of outcomes from epilepsy surgery, is a relatively robust metric over time. These findings add further support for abnormality mapping of neurophysiology data during presurgical evaluation.

Indexed as

ElectrocorticographyEpilepsyBrainBrain MappingElectroencephalographyHumans

Identifiers

PMID37226553
PMCPMC10962550
OpenAlexW4378172268

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.