Evidence map›Paper›PMID 41295969›Full record

ArticleEpilepsia2026

Mapping white matter tracts with SEEG electrodes.

Davide Giampiccolo, Jan van Dijk, Alejandro Granados, Fenglai Xiao, Giorgio Fiore, Roman Rodionov, Kuo Li, Aleksander Leon Lysomirski, Andrew W McEvoy, Beate Diehl and 3 more

Abstract read
In one paragraph

Article in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Electrophysiological features of signals recorded from white matter.bioRxiv : the preprint server for biology · 2026
    Article
  2. Antiseizure Networks.Epilepsy currents · 2026
    Article
  3. Article
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

13 authors.

Davide GiampiccoloDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0003-3849-4168
Jan van DijkDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0009-0001-0943-0598
Alejandro GranadosSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID https://orcid.org/0000-0003-3326-5702
Fenglai XiaoDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0003-1308-6539
Giorgio FioreDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0003-4550-3675
Roman RodionovDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.
Kuo LiDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0009-0003-5350-8916
Aleksander Leon LysomirskiDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0002-6720-7343
Andrew W McEvoyDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0002-4152-6776
Beate DiehlDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0002-6896-854X
John S DuncanDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0002-1373-0681
Fahmida ChowdhuryDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0000-0001-9546-0197
Anna MiserocchiDepartment of Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID https://orcid.org/0009-0003-2174-9520

Funding

Epilepsy Research UK F2403
6 · The paper itself

Abstract

objectiveStereo-electroencephalography (SEEG) is designed to record gray matter (GM) activity for epileptogenic zone localization. SEEG electrodes, however, traverse white matter (WM) pathways that connect regions involved in seizure networks and cognition. We retrospectively evaluated WM tract sampling in patients with SEEG to identify pathways suitable for prospective WM stimulation studies and validated this in two patients.

methodsThis retrospective analysis included 86 individuals who underwent SEEG implantation for drug-resistant epilepsy between 2014 and 2020. Electrode contacts were localized using postoperative high-resolution computed tomography (CT), co-registered to preoperative 3T T1-weighted magnetic resonance imaging (MRI) and normalized to Montreal Neurological Institute (MNI) space. Tissue classification utilized the Harvard-Oxford atlas, whereas WM tract involvement was assessed using probabilistic WM atlases. Preoperative tractography with dissection of the optic radiation was performed and used for 50 Hz, image-guided SEEG stimulation of white matter.

resultsAmong 86 patients (30 left, 40 right, 16 bilateral hemisphere implantations), 860 electrodes (6372 contacts) were implanted. Of 5853 intraparenchymal contacts (92%), 1826 (31%) were positioned exclusively within WM and 2554 (44%) at the GM/WM boundary. Patients had an average of 10 electrodes (74 contacts). Of intraparenchymal contacts, 4381 (75%) crossed WM pathways (average 21 tracts per patient). The most frequently sampled tracts were commissural fibers (corpus callosum: 100% of patients), followed by association fibers including the inferior fronto-occipital fasciculus (97.7%), superior longitudinal fasciculus II (96.5%), and cingulum (95.4%). In two separate patients, WM stimulation induced phosphenes at .5-1 mA in different distant electrodes with contacts in the optic radiation, which was reproducible and tract selective. SIGNIFICANCE: SEEG electrodes sample WM structures in approximately two-thirds of contacts, and association pathways demonstrate near-universal sampling, making them optimal candidates for systematic WM stimulation protocols. SEEG-WM stimulation with preoperative tractography was validated in two different patients.

Indexed as

Brain MappingDrug Resistant EpilepsyElectroencephalographyWhite MatterAdolescentAdultChildDiffusion Tensor ImagingElectrodes, ImplantedFemaleGray MatterHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective Studiesepilepsyepilepsy surgerySEEGwhite matter anatomy

Identifiers

PMID41295969
PMCPMC13007840

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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.