Evidence map›Paper›PMID 41192651›Full record

ArticleExperimental neurology2026

Photothrombosis-induced cortical stroke mouse model produces focal electrographic epileptic human biomarkers.

Dana C Shaw, Krishnakanth Kondabolu, Katherine G Walsh, Mohammed Abumuaileq, Wen Shi, Kate Isaac, Leo Steiner, Enrico Rillosi, Maxine Hsiung, Lauren Dang and 5 more

Abstract read
In one paragraph

Article in Experimental neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Dana C ShawDepartment of Biomedical Engineering, Boston University, Boston, MA, USA; Graduate Program in Neuroscience, Boston University, Boston, MA, USA.
Krishnakanth KondaboluDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Katherine G WalshDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Mohammed AbumuaileqDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Wen ShiDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Kate IsaacDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Leo SteinerDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Enrico RillosiUndergraduate Program in Neuroscience, Boston University, Boston, MA, USA.
Maxine HsiungUndergraduate Program in Neuroscience, Boston University, Boston, MA, USA.
Lauren DangUndergraduate Program in Neuroscience, Boston University, Boston, MA, USA.
Uri T EdenCenter for Systems Neuroscience, Boston University, Boston, MA, USA; Department of Mathematics and Statistics, Boston University, Boston, MA, USA.
Robert M RichardsonDepartment of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA.
Mark A KramerDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA; Center for Systems Neuroscience, Boston University, Boston, MA, USA; Department of Mathematics and Statistics, Boston University, Boston, MA, USA.
Catherine J ChuDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA; Department of Neurology, Kennedy Krieger Institute, Johns Hopkins University, Baltimore, MD, USA; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA. Electronic address: cjchu@jhu.edu.
Xue HanDepartment of Biomedical Engineering, Boston University, Boston, MA, USA; Center for Systems Neuroscience, Boston University, Boston, MA, USA. Electronic address: xuehan@bu.edu.

Funding

Targeting Pathologic Spike-Ripples to Isolate and Disrupt Epileptic DynamicsR01NS119483 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHU, CATHERINE J, EDEN, URI TZVI · 2021 to 2025
$3.4M
NINDS NIH HHS R01 NS119483
6 · The paper itself

Abstract

Interictal epileptiform spikes, high-frequency ripple oscillations, and their co-occurrence - spike ripples - in human scalp or intracranial voltage recordings are well-established epileptic biomarkers independent of etiology. While clinically significant, the neural mechanisms generating these electrographic events remain unclear. Stroke is a well-established risk factor for epilepsy with an estimated 11% of patients developing epilepsy within 5 years post-stroke. Cortical stroke induced via photothrombosis results in epilepsy in rats. As mice allow for cell-type specific analysis, we sought to determine whether focal cortical stroke in mice produces characteristic human epileptic biomarkers specific to the lesioned tissue. We induced unilateral focal stroke in the motor cortex using photothrombosis in the broadly used C57BL/6 mice and obtained intermittent bilateral local field potential recordings over many weeks. We observed spike, ripple, and spike ripple biomarkers in the peri-stroke mouse cortex that shared consistent morphology as humans with epilepsy. In addition, similar to humans, we found spike ripples detected using automated procedures developed from human intracranial recordings classified the pathological hemisphere with the highest sensitivity and specificity among the three biomarkers. Expert validation of the automatically detected biomarkers confirmed these observations. These results demonstrate a translational cortical stroke mouse model with a defined injury zone that produces localized electrographic biomarkers as in human epilepsy, enabling the investigation of the cellular and circuit mechanisms of pathologic interictal activity.

Indexed as

EpilepsyMotor CortexStrokeAnimalsBiomarkersDisease Models, AnimalElectroencephalographyHumansMaleMiceMice, Inbred C57BLBiomarkersEEGHigh frequency oscillation (HFO)PhotothrombosisRose BengalSpike rippleTranslational model

Identifiers

PMID41192651
PMCPMC13067148

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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.