Evidence map›Paper›PMID 42670788›Full record

ArticleEpilepsia open2026

Structural morphometry distinguishes vagus nerve stimulation outcomes in individuals with epilepsy.

Harry J Clifford, Sonja Fenske, Yujiang Wang, Tiago da Silva Costa, Rhys H Thomas, Sabahat Iqbal, Cameron A Elliott, Davide Giampiccolo, John S Duncan, Peter N Taylor

Abstract read
In one paragraph

Article in Epilepsia open, 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
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0citing papers in PubMed
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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

10 authors.

Harry J CliffordCNNP Lab (www.cnnp-lab.com), Computational Medicine Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
Sonja FenskeCNNP Lab (www.cnnp-lab.com), Computational Medicine Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.
Yujiang WangCNNP Lab (www.cnnp-lab.com), Computational Medicine Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0002-4847-6273
Tiago da Silva CostaFaculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.
Rhys H ThomasFaculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0003-2062-8623
Sabahat IqbalUCL Queen Square Institute of Neurology, Queen Square, London, UK.ORCID https://orcid.org/0000-0001-7658-6384
Cameron A ElliottDivision of Neurosurgery, Department of Surgery, University of Alberta, Edmonton, Alberta, Canada.
Davide GiampiccoloUCL Queen Square Institute of Neurology, Queen Square, London, UK.ORCID https://orcid.org/0000-0003-3849-4168
John S DuncanUCL Queen Square Institute of Neurology, Queen Square, London, UK.
Peter N TaylorCNNP Lab (www.cnnp-lab.com), Computational Medicine Group, School of Computing, Newcastle University, Newcastle upon Tyne, UK.ORCID https://orcid.org/0000-0003-2144-9838

Funding

National Institute for Health and Care ResearchUK Research and Innovation MR/T04294X/1UK Research and Innovation MR/V026569/1
6 · The paper itself

Abstract

objectiveVagus nerve stimulation (VNS) is a commonly used treatment for drug-resistant epilepsy. However, response to VNS is variable, while understanding of this response variability is limited. The vagus afferent network (VagAN), the neural circuits thought to be involved in response to vagal afferents, has been implicated in response prediction in modalities such as diffusion-weighted imaging, functional imaging, and neurophysiology. Structural abnormality in the VagAN from T1w MRI has not yet been studied.

methodsWe assessed if VagAN abnormalities, derived from pre-implantation T1w MRI, were associated with VNS response in 92 individuals with epilepsy two years post-implantation (42 responders, 50 non-responders). We used the first principal component (PC1) from a robust principal component analysis for a variety of region sets trained using 100 healthy controls. We investigated two primary hypotheses. (i) If VagAN regions' PC1 differentiates response groups, (ii) if other region sets did not differentiate response groups.

resultsNon-responders had significantly higher VagAN PC1 abnormality scores than both responders ( SIGNIFICANCE: Structural abnormality of VagAN was associated with non-response to VNS. This suggests that volume abnormalities in key VNS regions correlate negatively with reduction of seizures. Abnormalities in other regions, such as the non-VagAN region set, were not associated with VNS response. This metric, when combined with other modalities, may be a useful measure to improve the selection of individuals with drug-resistant epilepsy for VNS therapy. PLAIN LANGUAGE SUMMARY: Vagus nerve stimulation (VNS) is a common treatment for drug-resistant epilepsy; however, it is not always effective. We tested whether volumes of brain regions related to VNS efficacy and found that abnormality within a set of regions known to be affected by VNS related to non-response. No other set of regions showed this effect implying that this set of regions is uniquely placed to determine if someone may respond to VNS. This work supports the idea that VNS efficacy is limited by an individual's brain abnormality and should be considered in further studies.

Indexed as

drug resistant epilepsystructural MRI morphometrytreatment response predictionvagus afferent networkvagus nerve stimulation

Identifiers

PMID42670788
PMCPMC13527692

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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.