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Hippocampal abnormality and response to vagus nerve stimulation in epilepsy

Lookup NU author(s): Harry Clifford, Dr Sonja Fenske, Dr Jonathan Horsley, Callum Simpson, Nathan Evans, Professor Yujiang WangORCiD, Dr Tiago da Silva Costa, Dr Rhys ThomasORCiD, Professor Peter TaylorORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 The Author(s). Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.Vagus nerve stimulation (VNS) reduces seizure frequency and severity in some, but not all, individuals with epilepsy. The hippocampus has been implicated in VNS response, but is yet to be studied structurally using T1-weighted (T1w) magnetic resonance imaging (MRI). In this study we hypothesized greater hippocampal abnormality in VNS non-responders. Using hippocampal morphometrics, we extracted the volumes of four hippocampal regions from T1w MRI across three groups; VNS responders ((Formula presented.)), non-responders ((Formula presented.)), and healthy controls ((Formula presented.)). We first calculated the multivariate Mahalanobis distance using z-scores from all four hippocampal regions to measure abnormality relative to controls. We then compared traditional univariate measures to the Mahalanobis distance. Response to VNS was defined as having a (Formula presented.) seizure reduction 2 years post-implantation. Hippocampal morphometrics were significantly more abnormal in non-responders than responders ((Formula presented.)) using the multivariate Mahalanobis distance. Univariate approaches did not differ significantly between responders and non-responders ((Formula presented.)). At the group level, non-responders to VNS had greater structural hippocampal abnormality when using the multivariate approach. Conversely, this effect was lost with the univariate analysis. This suggests that abnormality is likely present in different parts of the hippocampus in different individuals. Future studies should incorporate multivariate, and potentially multi-modal, information to better characterize the mechanisms of VNS response.


Publication metadata

Author(s): Clifford HJ, Fenske S, Horsley J, Simpson C, Evans N, Wang Y, da Silva Costa T, Thomas RH, Iqbal S, Elliott CA, Duncan JS, Taylor PN

Publication type: Article

Publication status: Published

Journal: Epilepsia

Year: 2025

Pages: epub ahead of print

Online publication date: 03/10/2025

Acceptance date: 15/09/2025

Date deposited: 20/10/2025

ISSN (print): 0013-9580

ISSN (electronic): 1528-1167

Publisher: John Wiley and Sons Inc

URL: https://doi.org/10.1111/epi.18658

DOI: 10.1111/epi.18658

Data Access Statement: Anonymized data and code to reproduce the findings of this study are at the following location https://github.com/cnnp-lab/mahal-vns.

PubMed id: 41042256


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Funding

Funder referenceFunder name
National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre Fellowship
UKRI Future Leaders Fellowships (MR/T04294X/1, MR/V026569/1).

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