Evidence map›Paper›PMID 40019653›Full record

ReviewEpilepsia open2025

Voxel-based and surface-based cortical morphometric MRI applications for identifying the epileptogenic zone: A narrative review.

Jacob Bunyamin, Benjamin Sinclair, Meng Law, Patrick Kwan, Terence J O'Brien, Andrew Neal

Abstract readReview
In one paragraph

Review in Epilepsia open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Review
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.

Jacob BunyaminDepartment of Neuroscience, The School of Translational Research, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-9641-0976
Benjamin SinclairDepartment of Neuroscience, The School of Translational Research, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0002-0850-3644
Meng LawDepartment of Neuroscience, The School of Translational Research, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-8414-1991
Patrick KwanDepartment of Neuroscience, The School of Translational Research, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-7310-276X
Terence J O'BrienDepartment of Neuroscience, The School of Translational Research, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0002-7198-8621
Andrew NealDepartment of Neuroscience, The School of Translational Research, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0001-9251-5471

Funding

Monash UniversityNHMRC APP1091593NHMRC APP1176426NHMRC APP2009152NHMRC GNT2025849
6 · The paper itself

Abstract

Approximately 40% of patients with drug-resistant epilepsy referred for surgical evaluation have no epileptogenic lesion on MRI (MRI-negative). MRI-negative epilepsy is associated with poorer seizure freedom prognosis and has therefore motivated the development of structural post-processing methods to "convert" MRI-negative to MRI-positive cases. In this article, we review the principles, advances, and challenges of voxel- and surface-based cortical morphometric MRI techniques in detecting the epileptogenic zone. The ground truth for the presumed epileptogenic zone in imaging studies can be classified into lesion-based (MRI lesion mask or histopathology) or epileptogenicity-based ground truth (anatomical-electroclinical correlations or resections that lead to seizure freedom). Voxel-based techniques are reported to have a 13%-97% concordance rate, while surface-based techniques have 67%-92% compared to lesion-based ground truths. Epileptogenicity-based ground truth may be more relevant in the case of MRI-negative cases; however, the sensitivity and concordance rate (voxel-based technique 7.1%-66.7%, and surface-based technique 62%) are limited by the reliance on scalp EEG and qualitative analysis of seizure-onset pattern. The use of stereo-EEG and quantitative EEG analysis may fill this gap to evaluate the correlation between cortical morphometry results and electrophysiological epileptogenic biomarkers of the epileptogenic zone and help improve the yield of structural post-processing tools. PLAIN LANGUAGE SUMMARY: Locating the epileptogenic zone (the brain area that is responsible for seizure generation) is important to diagnose and plan epilepsy treatments. An abnormal brain imaging (MRI) result can help clinical decision-making; however, around 40% of patients have normal MRI results (MRI-negative). We are reviewing the potential of two advanced MRI methods (voxel- and surface-based cortical morphometry) to localize the epileptogenic zone in the presence or absence of visible MRI abnormalities. We also describe the current challenge of applying the above methods in daily clinical practice and propose using advanced brain recording analysis to aid this translation process.

Indexed as

Cerebral CortexDrug Resistant EpilepsyEpilepsyMagnetic Resonance ImagingElectroencephalographyHumanscortical morphometryepilepsymagnetic resonance imagingstereo‐electroencephalography

Identifiers

PMID40019653
PMCPMC12014933

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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.