Evidence map›Paper›PMID 40827585›Full record

SynthesisEpilepsia2025

MRI-negative epilepsy: A systematic review and meta-analysis.

Ravnoor S Gill, Francesco Deleo, Boris Bernhardt, Samuel Wiebe, Neda Bernasconi, Andrea Bernasconi

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Quantitative dual-tracerEuropean journal of nuclear medicine and molecular imaging · 2026
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  6. Review
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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

6 authors.

Ravnoor S GillNeuroimaging of Epilepsy Laboratory and Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada.
Francesco DeleoIstituto Neurologico Carlo Besta, Milan, Italy.ORCID https://orcid.org/0000-0003-0808-3042
Boris BernhardtMultimodal Imaging and Connectome Analysis Laboratory, Montreal Neurological Institute, McGill University, Montreal, Canada.
Samuel WiebeDepartment of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.ORCID https://orcid.org/0000-0002-1061-9099
Neda BernasconiNeuroimaging of Epilepsy Laboratory and Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0002-8947-9518
Andrea BernasconiNeuroimaging of Epilepsy Laboratory and Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0001-9358-5703

Funding

Brain CanadaEpilepsy CanadaFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of Canada NSERC; Discovery-243141Natural Sciences and Engineering Research Council of Canada NSERC; Discovery-24779
6 · The paper itself

Abstract

objectiveDrug-resistant focal epilepsy is commonly dichotomized based on magnetic resonance imaging (MRI) lesion visibility into positive (MRI-pos) and negative (MRI-neg). Yet, the criteria used to ascribe such categorization are variable. We used a systematic review and meta-analysis to synthesize evidence for the designation of MRI-neg status.

methodsIn accordance with Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, the systematic review (1990-2025) across Embase, Cochrane, and Medline databases identified cohorts with MRI-neg epilepsy. Unsupervised clustering stratified studies based on co-occurrence of imaging modalities. Within identified classes, we assessed the consistency of reporting MRI parameters, rater expertise, post-processing, and stereo-electroencephalography (SEEG). Meta-analyses evaluated the effects of post-processing on diagnostic yield and MRI-neg status on post-surgical outcome.

resultsWe screened 2622 records and assessed the eligibility of 448 full-text articles, 246 of which met the inclusion criteria for systematic review: 108 (44%) provided data only on MRI-neg and 138 (56%) on mixed adult cohorts, for a total of 10.463 MRI-neg and 7436 MRI-pos patients. Compared to MRI-pos, MRI-neg patients underwent SEEG more frequently (75% vs 54%, p < 0.05), underwent surgery less frequently (73% vs 84%; odds ratio [OR] = 1.14, p < 0.001), and had less favorable outcomes (61% vs 72%, p < 0.05). Clustering identified three classes: MRI-dominant, typified by consistent reporting of MRI parameters (ORs >3.11, p < 0.001), rater-expertise (ORs >9.94, p < 0.001), and post-processing (ORs >3.38, p < 0.03), as opposed to Limited-MRI (χ SIGNIFICANCE: The designation of MRI-neg is ambiguous, with most studies lacking details on imaging parameters and reader expertise. Given a 39% gain in diagnostic yield, MRI post-processing should be performed systematically as part of a modern multimodal approach to epilepsy surgery before ascribing MRI-neg status.

Indexed as

Drug Resistant EpilepsyEpilepsyMagnetic Resonance ImagingBrainElectroencephalographyHumansmagnetic resonance imagingmeta‐analysisMRI‐negative epilepsyneuroimaging

Identifiers

PMID40827585
PMCPMC12779311

What OpenQuestion holds

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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.