Evidence map›Paper›PMID 41822109›Full record

ArticleBrain communications2026

White matter resection and verbal memory deficits after temporal lobe epilepsy surgery.

Lawrence P Binding, Davide Giampiccolo, Yaqi Ji, Marine Fleury, Sherry Liu, Lorenzo Bianchi, Anna Miserocchi, Andrew W McEvoy, Sallie Baxendale, Matthias Koepp and 8 more

Abstract read
In one paragraph

Article in Brain communications, 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
0cells of the map it votes in
0citing 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

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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.

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

18 authors.

Lawrence P BindingUCL Hawkes Institute, Department of Computer Science, UCL, London, UK.
Davide GiampiccoloDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0003-3849-4168
Yaqi JiDepartment of Psychology, University of California, Berkeley 94704, USA.
Marine FleuryDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0002-9947-0322
Sherry LiuDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0002-5215-5763
Lorenzo BianchiMedicine and Surgery, University of Bologna, Bologna 40125, Italy.
Anna MiserocchiDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
Andrew W McEvoyDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
Sallie BaxendaleDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0002-9930-6469
Matthias KoeppDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
Fenglai XiaoDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0003-1308-6539
Aidan G O'KeeffeSchool of Mathematical Sciences, University of Nottingham, Nottingham, UK.
Meneka K SidhuDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
Peter N TaylorDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0003-2144-9838
Jane de TisiMRI Unit, Chalfont Centre for Epilepsy, Chalfont St Peter, Greater London, UK.
Gavin P WinstonDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.
John S DuncanDepartment of Epilepsy, UCL Queen Square Institute of Neurology, London, UK.ORCID https://orcid.org/0000-0002-1373-0681
Sjoerd B VosUCL Hawkes Institute, Department of Computer Science, UCL, London, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Temporal lobe resection for focal, drug-resistant temporal lobe epilepsy (TLE) causes verbal memory deficits in 30% of left hemisphere-operated patients. Structural, functional and computational modelling have shown a widespread structural and functional memory network with hubs in critical brain regions including the hippocampus, subcortical and neocortical regions. We hypothesized that damage to white matter pathways forming a network involving cortical and subcortical regions may be responsible for postoperative memory problems. In this study, we measured verbal memory encoding (immediate recall) and retrieval (delayed recall) outcome at three timepoints (preoperative, 3- and 12-month postoperatively) in 146 left TLE patients who underwent temporal lobe surgery and evaluated the impact of white matter tract section on verbal memory. Outcome was measured by the change in scores from preoperative to 3- and 12-month postoperatively and via the reliable change index. Utilizing resection masks from pre- and postoperative T1 scans, an atlas-based analysis utilizing reconstructions of the ventral cingulum and fornix confirmed these tracts involvement in verbal encoding but not retrieval. Using preoperative diffusion MRI (dMRI) reconstructions with resection masks to estimate the percentage of fibre bundle transection, we found that the ventral cingulum was significantly related to verbal encoding change and the fornix was related to verbal retrieval across both 3- and 12-month timepoints. Investigating volumes of ventral cingulum and fornix from postoperative dMRI reconstruction revealed that greater volume remaining of the ventral cingulum and fornix was related to less decline in verbal encoding but not retrieval. Our results suggest that verbal encoding may be supported by direct and indirect connections between the medial temporal lobe and subcortical regions with memory deficits arising from their transection. Verbal retrieval may rely on a greater neocortical network. These findings may inform a revised surgical approach to minimize damage to the fornix and ventral cingulum to optimize memory outcome, but recognizing the potential for worse seizure outcome with less ventral cingulum resections.

Indexed as

epilepsyepilepsy surgerymemorywhite matter

Identifiers

PMID41822109
PMCPMC12977961

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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.