Evidence map›Paper›PMID 39541170›Full record

ArticleJCI insight2025

High-resolution multimodal profiling of human epileptic brain activity via explanted depth electrodes.

Anuj Kumar Dwivedi, Arun Mahesh, Albert Sanfeliu, Julian Larkin, Rebecca A Siwicki, Kieron J Sweeney, Donncha F O'Brien, Peter Widdess-Walsh, Simone Picelli, David C Henshall and 1 more

Abstract read
In one paragraph

Article in JCI insight, 2025. 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. Review
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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

11 authors.

Anuj Kumar DwivediInstitute for Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Arun MaheshInstitute for Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Albert SanfeliuFutureNeuro Research Ireland Centre for Translational Brain Science and.
Julian LarkinFutureNeuro Research Ireland Centre for Translational Brain Science and.
Rebecca A SiwickiInstitute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.
Kieron J SweeneyFutureNeuro Research Ireland Centre for Translational Brain Science and.
Donncha F O'BrienFutureNeuro Research Ireland Centre for Translational Brain Science and.
Peter Widdess-WalshFutureNeuro Research Ireland Centre for Translational Brain Science and.
Simone PicelliInstitute of Molecular and Clinical Ophthalmology Basel (IOB), Basel, Switzerland.
David C HenshallFutureNeuro Research Ireland Centre for Translational Brain Science and.
Vijay K TiwariInstitute for Molecular Medicine, University of Southern Denmark, Odense, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability and integration of electrophysiological and molecular data from the living brain is critical in understanding and diagnosing complex human disease. Intracranial stereo electroencephalography (SEEG) electrodes used for identifying the seizure focus in patients with epilepsy could enable the integration of such multimodal data. Here, we report multimodal profiling of epileptic brain activity via explanted depth electrodes (MoPEDE), a method that recovers extensive protein-coding transcripts, including cell type markers, DNA methylation, and short variant profiles from explanted SEEG electrodes matched with electrophysiological and radiological data allowing for high-resolution reconstructions of brain structure and function. We found gene expression gradients that corresponded with the neurophysiology-assigned epileptogenicity index but also outlier molecular fingerprints in some electrodes, potentially indicating seizure generation or propagation zones not detected during electroclinical assessments. Additionally, we identified DNA methylation profiles indicative of transcriptionally permissive or restrictive chromatin states and SEEG-adherent differentially expressed and methylated genes not previously associated with epilepsy. Together, these findings validate that RNA profiles and genome-wide epigenetic data from explanted SEEG electrodes offer high-resolution surrogate molecular landscapes of brain activity. The MoPEDE approach has the potential to enhance diagnostic decisions and deepen our understanding of epileptogenic network processes in the human brain.

Indexed as

BrainDNA MethylationEpilepsyAdultElectrocorticographyElectrodes, ImplantedElectroencephalographyFemaleHumansMaleEpilepsyNeuroscience

Identifiers

PMID39541170
PMCPMC11721296

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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.