Evidence map›Paper›PMID 40492982›Full record

ArticleEpilepsia2025

Combined impact of gray and superficial white matter abnormalities: Implications for epilepsy surgery.

Csaba Kozma, Jonathan Horsley, Gerard Hall, Callum Simpson, Jane de Tisi, Anna Miserocchi, Andrew W McEvoy, Sjoerd B Vos, Gavin P Winston, Yujiang Wang and 2 more

Abstract read
In one paragraph

Article in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. AI in epilepsy neuroimaging.Current opinion in neurology · 2026
    Review
  3. Article
  4. Article
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

12 authors.

Csaba KozmaCNNP Lab (www.cnnp-lab.com), School of Computing, Newcastle University, Newcastle upon Tyne, UK.
Jonathan HorsleyCNNP Lab (www.cnnp-lab.com), School of Computing, Newcastle University, Newcastle upon Tyne, UK.
Gerard HallCNNP Lab (www.cnnp-lab.com), School of Computing, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-5212-7850
Callum SimpsonCNNP Lab (www.cnnp-lab.com), School of Computing, Newcastle University, Newcastle upon Tyne, UK.
Jane de TisiDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Anna MiserocchiDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Andrew W McEvoyDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Sjoerd B VosDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0002-8502-4487
Gavin P WinstonDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0001-9395-1478
Yujiang WangCNNP Lab (www.cnnp-lab.com), School of Computing, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-4847-6273
John S DuncanDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Peter N TaylorCNNP Lab (www.cnnp-lab.com), School of Computing, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0003-2144-9838

Funding

Engineering and Physical Sciences Research Council EP/L015358/1Epilepsy Research UKMedical Research Council G0802012Medical Research Council MR/M00841X/1UCLH Biomedical Research CentreUK Research and Innovation MR/T04294X/1UK Research and Innovation MR/V026569/1
6 · The paper itself

Abstract

objectiveDrug-resistant focal epilepsy is associated with abnormalities in the brain in both gray matter (GM) and superficial white matter (SWM). However, it is unknown if both types of abnormalities are important in supporting seizures. Here, we test if surgical removal of GM and/or SWM abnormalities relates to post-surgical seizure outcome in people with temporal lobe epilepsy (TLE).

methodsWe analyzed structural imaging data from 143 patients with TLE (pre-op diffusion magnetic resonance imaging and pre-op T1-weighted MRI) and 97 healthy controls. We calculated GM volume abnormalities and SWM mean diffusivity abnormalities and evaluated if their surgical removal distinguished seizure outcome groups post-surgically.

resultsAt a group level, GM and SWM abnormalities were most common in the ipsilateral temporal lobe and hippocampus in people with TLE. Analyzing both modalities together, compared to in isolation, improved surgical outcome discrimination (GM area under the curve [AUC] = 0.68, p < 0.01; WM AUC = 0.65, p < 0.01; Union AUC = 0.72, p < 0.01; Concordance AUC = 0.64, p = 0.04). In addition, 100% of people who had all concordant abnormal regions resected had International League Against Epilepsy (ILAE) SIGNIFICANCE: Resecting abnormalities in GM or SWM individually affects surgical outcomes but combining both provides clearer patient group distinctions. This approach improves outcome differentiation, showing higher rates of patients living without disabling seizures when all concordant abnormal regions are resected. These findings suggest that regions identified as abnormal from both diffusion-weighted and T1-weighted MRI are involved in the epileptogenic network and that resection of both types of abnormalities may enhance the chances of living without disabling seizures.

Indexed as

Drug Resistant EpilepsyEpilepsy, Temporal LobeGray MatterWhite MatterAdolescentAdultDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedTreatment OutcomeYoung Adultepilepsy surgerygray mattermultimodalsuperficial white matter

Identifiers

PMID40492982
PMCPMC12605822

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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.