Evidence map›Paper›PMID 41427675›Full record

ArticleEpilepsia2026

Multimodal integration of magnetic resonance imaging and intracranial electroencephalographic abnormalities in temporal lobe epilepsy surgery.

Csaba Kozma, Jonathan Horsley, Gerard Hall, Callum Simpson, Jane de Tisi, Anna Miserocchi, Beate Diehl, Andrew W McEvoy, Sjoerd B Vos, Gavin P Winston and 3 more

Abstract read
In one paragraph

Article in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Csaba KozmaCNNP Lab, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Jonathan HorsleyCNNP Lab, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Gerard HallCNNP Lab, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID https://orcid.org/0000-0002-5212-7850
Callum SimpsonCNNP Lab, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
Jane de TisiDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Anna MiserocchiDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Beate DiehlDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0002-6896-854X
Andrew W McEvoyDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Sjoerd B VosDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0002-8502-4487
Gavin P WinstonDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0001-9395-1478
Yujiang WangCNNP Lab, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID https://orcid.org/0000-0002-4847-6273
John S DuncanDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Peter N TaylorCNNP Lab, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.ORCID https://orcid.org/0000-0003-2144-9838

Funding

Epilepsy Research Institute 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

objectivePrecise localization of epileptogenic tissue is critical for successful surgery in drug-resistant temporal lobe epilepsy (TLE) but is challenging in those requiring intracranial electroencephalography (iEEG). A range of modalities are used for localization, including magnetic resonance imaging (MRI) and EEG, which are typically integrated qualitatively by the clinical team.

methodsThis study quantitatively performed retrospective analysis of three modalities in 40 individuals with TLE who underwent subsequent resective surgery: preoperative diffusion-weighted MRI, T1-weighted MRI, and iEEG. Brain abnormalities in gray matter (GM) volume, superficial white matter (SWM) mean diffusivity, and interictal iEEG band power were derived by comparison to 97 MRI controls and 247 subjects with iEEG. We hypothesized that combined abnormalities in GM and SWM could differentiate postsurgical outcomes and adding iEEG abnormalities would improve outcome differentiation.

resultsMRI (union of GM and SWM) abnormalities were primarily concentrated in the ipsilateral hippocampus and inferior temporal regions. Resection of these abnormal regions effectively differentiated seizure-free outcomes (area under the curve [AUC] = .76, area under the precision-recall curve [AUPRC] = .78, p < .01), corroborating previous results from larger TLE cohorts. Adding iEEG abnormalities improved outcome differentiation (AUC = .92, AUPRC = .89, p < .01; z = 2.01, p < .05). MRI abnormalities were more likely to colocalize with iEEG implantation sites (z = 6.26, p < .01) and iEEG abnormalities (z = 4.34, p < .01) in individuals with favorable outcomes (International League Against Epilepsy [ILAE] class 1 and 2), but not in those with less favorable outcomes (ILAE class 3+). SIGNIFICANCE: Combining quantitative MRI-derived GM and SWM abnormalities with interictal iEEG data improves localization of epileptogenic tissue and postsurgical outcome differentiation. Multimodal approaches may offer added value for surgical planning in complex situations.

Indexed as

Drug Resistant EpilepsyElectrocorticographyEpilepsy, Temporal LobeMagnetic Resonance ImagingAdolescentAdultElectroencephalographyFemaleGray MatterHumansMaleMiddle AgedMultimodal ImagingRetrospective StudiesYoung Adultepilepsy surgerygray matteriEEGmultimodalsuperficial white matter

Identifiers

PMID41427675
PMCPMC13007827

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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.