Evidence map›Paper›PMID 40764764›Full record

ArticleNature computational science2025

Virtual brain twins for stimulation in epilepsy.

Huifang E Wang, Borana Dollomaja, Paul Triebkorn, Gian Marco Duma, Adam Williamson, Julia Makhalova, Jean-Didier Lemarechal, Fabrice Bartolomei, Viktor Jirsa

Abstract read
In one paragraph

Article in Nature computational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025
    Review
  12. Virtual brain twins for stimulation in epilepsy.Nature computational science · 2025
    Article
  13. Article
  14. Review
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

9 authors.

Huifang E WangAix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France. huyfang.wang@univ-amu.fr.ORCID 0000-0002-4060-8649
Borana DollomajaAix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France.
Paul TriebkornAix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France.ORCID 0000-0002-0371-8400
Gian Marco DumaAix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France.
Adam WilliamsonAix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France.
Julia MakhalovaEpileptology and Clinical Neurophysiology Department, APHM, Timone Hospital, Marseille, France.
Jean-Didier LemarechalAix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France.
Fabrice BartolomeiAix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France.
Viktor JirsaAix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France. viktor.jirsa@univ-amu.fr.ORCID 0000-0002-8251-8860

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-24-RRII-0005Fondation Aix-Marseille Universite (Fondation Aix-Marseille Université) No. AMX-22-RE-AB-135
6 · The paper itself

Abstract

Estimating the epileptogenic zone network (EZN) is an important part of the diagnosis of drug-resistant focal epilepsy and has a pivotal role in treatment and intervention. Virtual brain twins provide a modeling method for personalized diagnosis and treatment. They integrate patient-specific brain topography with structural connectivity from anatomical neuroimaging such as magnetic resonance imaging, and dynamic activity from functional recordings such as electroencephalography (EEG) and stereo-EEG (SEEG). Seizures show rich spatial and temporal features in functional recordings, which can be exploited to estimate the EZN. Stimulation-induced seizures can provide important and complementary information. Here we consider invasive SEEG stimulation and non-invasive temporal interference stimulation as a complementary approach. This paper offers a high-resolution virtual brain twin framework for EZN diagnosis based on stimulation-induced seizures. It provides an important methodological and conceptual basis to make the transition from invasive to non-invasive diagnosis and treatment of drug-resistant focal epilepsy.

Indexed as

BrainEpilepsyDrug Resistant EpilepsyElectroencephalographyHumansMagnetic Resonance ImagingSeizures

Identifiers

PMID40764764
PMCPMC12457187

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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.