Evidence map›Paper›PMID 41340548›Full record

ArticleBrain : a journal of neurology2026

White matter signals reflect information transmission between brain regions during seizures.

Andrew Y Revell, Marc Jaskir, Alfredo Lucas, Alexander B Silva, Dhanya Mahesh, Lena Armstrong, T Campbell Arnold, John M Bernabei, Ezequiel Gleichgerrcht, Leonardo Bonilha and 6 more

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Electrophysiological features of signals recorded from white matter.bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Andrew Y RevellDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0003-0838-4136
Marc JaskirDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Alfredo LucasCenter for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-9439-735X
Alexander B SilvaCenter for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Dhanya MaheshDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Lena ArmstrongCenter for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
T Campbell ArnoldCenter for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0001-8226-8497
John M BernabeiCenter for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-3012-1263
Ezequiel GleichgerrchtDepartment of Neurology, Medical University of South Carolina, Charleston, SC 29425, USA.ORCID 0000-0002-4212-4146
Leonardo BonilhaDepartment of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA.
Joel M SteinCenter for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Sandhitsu R DasCenter for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Russell T ShinoharaDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Dani S BassettDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-6183-4493
Brian LittCenter for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kathryn A DavisDepartment of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID 0000-0002-7020-6480

Funding

Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Training Program in Neuroengineering and MedicineT32NS091006 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Brian Litt · 2015 to 2026
$4.1M
Optimized Intracranial EEG Targeting in Focal Epilepsy based upon Neuroimaging ConnectomicsR01NS116504 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVIS, KATHRYN ADAMIAK · 2021 to 2025
$3.3M
Virtual Resection to Treat EpilepsyR01NS099348 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH, LITT, BRIAN · 2016 to 2019
$2.3M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
ISI FoundationJohn D. and Catherine T. MacArthur FoundationMirowski Family FoundationNIH HHS 1R01MH112847NIH HHS 1R01NS085211NIH HHS 1R01NS099348NIH HHS 1R01NS116504NIH HHS 5-T32-NS-091006-07NIMH NIH HHS R01 MH112847NINDS NIH HHS R01 NS085211NINDS NIH HHS R01 NS099348NINDS NIH HHS R01 NS116504NINDS NIH HHS T32 NS091006Pennsylvania Tobacco Fund
6 · The paper itself

Abstract

The white matter of the brain is a dynamic and active tissue that coordinates brain function through the transmission and modulation of information between regions via action potentials. Although scientific and clinical interest in studying white matter via diffusion imaging has grown rapidly, an electrophysiological understanding of white matter in healthy and disease states remains elusive. And although human white matter recordings are acquired in intracranial EEG studies in epilepsy, clinical evaluation typically focuses on grey matter structures to understand seizure generation and plan surgical intervention despite the role of white matter in coordinating and propagating epileptic activity. Here, we study white matter recordings in 29 patients with drug-resistant epilepsy who underwent stereo EEG for surgical evaluation. We elucidate properties of both electrical activity and network connectivity within white matter and its relationship to cortical connectivity. We also integrate tractography and stereo EEG recordings to demonstrate that our observed white matter dynamics reflect underlying structural connectivity patterns between grey matter structures, emphasizing the role of white matter in information transmission during seizures. Finally, we find that increased white matter connectivity to the presumed seizure onset zone is associated with poor surgical outcome after epilepsy surgery. Our findings support the distributed epileptic network hypothesis, which states that the true seizure onset zone is not a single focal anatomical location per se (in some cases), but rather a distributed epileptic network where many brain regions interact together, allowing a patient to enter a seizure state. Therefore, we propose that white matter electrophysiology and connectivity might represent information on the spatial distribution of epilepsy and thus its amenability to intervention, whether through focal ablation or modulation through devices. Overall, white matter functional recordings might provide a wealth of currently untapped knowledge about the neurobiology of disease and could guide clinical decision-making in treatment of drug-resistant epilepsy patients.

Indexed as

BrainDrug Resistant EpilepsySeizuresWhite MatterAdolescentAdultDiffusion Tensor ImagingElectroencephalographyFemaleGray MatterHumansMaleMiddle AgedYoung Adultepilepsynetworkswhite matter

Identifiers

PMID41340548
PMCPMC12782170

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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.