Evidence map›Paper›PMID 39715478›Full record

ArticleNeurology2025

Brain Hypertrophy in Patients With Mesial Temporal Lobe Epilepsy With Hippocampal Sclerosis and Its Clinical Correlates.

Richard Zubal, Matus Velicky Buecheler, Daichi Sone, Tjardo Postma, Jane De Tisi, Lorenzo Caciagli, Gavin P Winston, Meneka K Sidhu, Lili Long, Bo Xiao and 7 more

Abstract read
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Richard ZubalDepartment of Neuroradiology, Inselspital, Bern University Hospital and University of Bern, Switzerland.ORCID 0009-0006-1517-3061
Matus Velicky BuechelerDepartment of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland.ORCID 0009-0003-7711-8250
Daichi SoneDepartment of Psychiatry, Jikei University School of Medicine, Tokyo, Japan.ORCID 0000-0001-9617-706X
Tjardo PostmaDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0000-0001-6497-9113
Jane De TisiDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0000-0002-7666-2268
Lorenzo CaciagliDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0000-0001-7189-9699
Gavin P WinstonDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0000-0001-9395-1478
Meneka K SidhuDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.
Lili LongDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0001-5078-8770
Bo XiaoDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0001-5204-1902
Andrew William McevoyDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0000-0002-1078-3761
Anna MiserocchiDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0009-0003-2174-9520
Sjoerd B VosDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0000-0002-8502-4487
Christian R BaumannDepartment of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland.ORCID 0000-0003-3417-1978
John S DuncanDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0000-0002-1373-0681
Matthias J KoeppDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, United Kingdom.ORCID 0000-0002-4277-8000
Marian GalovicDepartment of Neurology, Clinical Neuroscience Center, University Hospital and University of Zurich, Zurich, Switzerland.ORCID 0000-0002-2307-071X

Funding

Wellcome Trust
6 · The paper itself

Abstract

BACKGROUND AND

objectivesMesial temporal lobe epilepsy (mTLE) is generally associated with focal brain atrophy, but little knowledge exists on possible disease-related hypertrophy of brain structures. We hypothesized that repeated seizures or adaptive plasticity may lead to focal brain hypertrophy and aimed to investigate associated clinical correlates.

methodsIn this cohort study, we included patients with mTLE undergoing detailed epilepsy evaluations and matched healthy volunteers (HVs) from 2 tertiary centers (discovery and validation cohorts). We assessed areas of brain hypertrophy and their clinical correlates using whole-brain voxel-based or surface-based morphometry (VBM, SBM), subcortical volumetry, and shape analysis of T1-weighted MRI data by fitting linear models. We evaluated the functional implications of the findings on memory encoding using fMRI.

resultsWe included 135 patients with mTLE with neuropathology-confirmed hippocampal sclerosis (77 left, 58 right; 82 women; mean age 37 ± 11 years) and 47 HVs (29 women, mean age 36 ± 11 years) in the discovery cohort. VBM detected increased gray matter volume of the contralateral amygdala in patients with both left ( DISCUSSION: Unilateral mTLE due to hippocampal sclerosis is associated with hypertrophy of the contralateral amygdala. This may represent plasticity to compensate for verbal memory deficits or may be the consequence of seizure spread to the contralateral hemisphere.

Indexed as

Epilepsy, Temporal LobeHippocampusHypertrophyMagnetic Resonance ImagingSclerosisAdultAmygdalaCohort StudiesFemaleHippocampal SclerosisHumansMaleMiddle Aged

Identifiers

PMID39715478
PMCPMC11666274

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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.