Evidence map›Paper›PMID 42897859›Full record

ArticleEpilepsia open2026

Progressive Hippocampal Volume Reduction Beyond Normal Aging in Temporal Lobe Epilepsy: A Longitudinal MRI Study.

Daichi Sone, Yoko Shigemoto, Risa Kagaya, Yukio Kimura, Hiroshi Matsuda, Noriko Sato

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.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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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.

Daichi SoneDepartment of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9617-706X
Yoko ShigemotoDepartment of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan.
Risa KagayaDepartment of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan.
Yukio KimuraDepartment of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan.
Hiroshi MatsudaDepartment of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan.
Noriko SatoDepartment of Radiology, National Center of Neurology and Psychiatry, Tokyo, Japan.

Funding

Japan Epilepsy Society: UCB Epilepsy Grant
6 · The paper itself

Abstract

Recent neuroimaging studies have suggested that epilepsy may show progressive brain structural changes over time. However, longitudinal hippocampal volume changes in temporal lobe epilepsy (TLE) have not been adequately compared with those observed in normal aging. In this study, we enrolled 46 patients with unilateral TLE and 25 healthy controls with longitudinal structural MRI scans using the same scanner. Hippocampal volumes were quantified using the Hipposeg software, and the annual percentage volume reduction relative to baseline (%Reduction/year) was calculated for each hippocampus. Compared to healthy hippocampi (median -0.37% per year, IQR = 3.97), both ipsilateral (median -1.04% per year, IQR = 3.65) and contralateral (median -1.08% per year, IQR = 3.17) hippocampi in TLE showed significantly greater volume reduction over time (both p < 0.05). Furthermore, annual ipsilateral hippocampal volume reduction was significantly correlated with disease duration (Spearman's rs = 0.366, FDR-corrected p = 0.036), suggesting that hippocampal atrophy progresses more rapidly during the early stage after epilepsy onset. These findings indicate that hippocampal volume loss in TLE exceeds that expected from normal aging and provide further evidence supporting progressive structural alterations during the course of the disease. PLAIN LANGUAGE SUMMARY: Temporal lobe epilepsy may cause progressive changes in the brain beyond those expected from normal aging. Using repeated MRI scans, we found that the hippocampus showed greater volume loss over time in people with temporal lobe epilepsy than in healthy individuals. This volume loss occurred bilaterally and appeared to be greater during the earlier stages of the disease. These results provide further evidence supporting progressive structural brain changes in TLE and contribute to a better understanding of disease progression and abnormal brain aging in epilepsy.

Indexed as

disease progressionhippocampuslongitudinal MRItemporal lobe epilepsy

Identifiers

PMID42897859
PMCPMC13680815

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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.