Evidence map›Paper›PMID 35663381›Full record

ArticleBrain communications2022

Probabilistic landscape of seizure semiology localizing values.

Ali Alim-Marvasti, Gloria Romagnoli, Karan Dahele, Hadi Modarres, Fernando Pérez-García, Rachel Sparks, Sébastien Ourselin, Matthew J Clarkson, Fahmida Chowdhury, Beate Diehl and 1 more

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Ictal semiology in anterior cingulate epilepsy: A systematic review.Epileptic disorders : international epilepsy journal with videotape · 2025
    Pooled it
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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 6 institutions in 1 country.

Ali Alim-MarvastiDepartment of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, UK.ORCID https://orcid.org/0000-0002-7811-0344
Gloria RomagnoliDepartment of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, UK.
Karan DaheleUniversity College London Medical School, London, UK.
Hadi ModarresFaculty of Engineering, University of Cambridge, Cambridge, UK.
Fernando Pérez-GarcíaDepartment of Medical Physics and Biomedical Engineering, UCL, London, UK.
Rachel SparksSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Sébastien OurselinSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Matthew J ClarksonDepartment of Medical Physics and Biomedical Engineering, UCL, London, UK.
Fahmida ChowdhuryDepartment of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, UK.
Beate DiehlDepartment of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, UK.
John S DuncanDepartment of Clinical and Experimental Epilepsy, Queen Square Institute of Neurology, UCL, London, UK.ORCID https://orcid.org/0000-0002-1373-0681
King's College London · GBNational Hospital for Neurology and Neurosurgery · GBWellcome / EPSRC Centre for Interventional and Surgical Sciences · GBUniversity College London · GBUniversity of Cambridge · GBUniversity of Oxford · GB

Funding

Medical Research Council MR/V037579/1
6 · The paper itself

Abstract

Semiology describes the evolution of symptoms and signs during epileptic seizures and contributes to the evaluation of individuals with focal drug-resistant epilepsy for curative resection. Semiology varies in complexity from elementary sensorimotor seizures arising from primary cortex to complex behaviours and automatisms emerging from distributed cerebral networks. Detailed semiology interpreted by expert epileptologists may point towards the likely site of seizure onset, but this process is subjective. No study has captured the variances in semiological localizing values in a data-driven manner to allow objective and probabilistic determinations of implicated networks and nodes. We curated an open data set from the epilepsy literature, in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, linking semiology to hierarchical brain localizations. A total of 11 230 data points were collected from 4643 patients across 309 articles, labelled using ground truths (postoperative seizure-freedom, concordance of imaging and neurophysiology, and/or invasive EEG) and a designation method that distinguished between semiologies arising from a predefined cortical region and descriptions of neuroanatomical localizations responsible for generating a particular semiology. This allowed us to mitigate temporal lobe publication bias by filtering studies that preselected patients based on prior knowledge of their seizure foci. Using this data set, we describe the probabilistic landscape of semiological localizing values as forest plots at the resolution of seven major brain regions: temporal, frontal, cingulate, parietal, occipital, insula, and hypothalamus, and five temporal subregions. We evaluated the intrinsic value of any one semiology over all other ictal manifestations. For example, epigastric auras implicated the temporal lobe with 83% probability when not accounting for the publication bias that favoured temporal lobe epilepsies. Unbiased results for a prior distribution of cortical localizations revised the prevalence of temporal lobe epilepsies from 66% to 44%. Therefore, knowledge about the presence of epigastric auras updates localization to the temporal lobe with an odds ratio (OR) of 2.4 [CI

Indexed as

cortical localizationdata-drivenepilepsy surgeryphenotypepresurgical

Identifiers

PMID35663381
PMCPMC9156627
OpenAlexW4280650236

What OpenQuestion holds

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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.