Evidence map›Paper›PMID 42367987›Full record

ArticlebioRxiv : the preprint server for biology2026

Microelectrode arrays enable directional stereo-EEG during kainate-mediated seizures.

Ryan Shores, Takfarinas Medani, Anand Joshi, Camryn Matthews, Yash S Vakilna, Jay Gavvala, Richard M Leahy, Sandipan Pati, John C Mosher, Nitin Tandon and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ryan ShoresRice University, Department of Electrical and Computer Engineering, Houston, TX.
Takfarinas MedaniUniversity of Southern California, Department of Electrical & Computer Engineering, Los Angeles, LA.
Anand JoshiUniversity of Southern California, Department of Electrical & Computer Engineering, Los Angeles, LA.
Camryn MatthewsDepartment of Neurosurgery, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA.
Yash S VakilnaRice University, Department of Electrical and Computer Engineering, Houston, TX.
Jay GavvalaDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA.
Richard M LeahyUniversity of Southern California, Department of Electrical & Computer Engineering, Los Angeles, LA.
Sandipan PatiUniversity of Minnesota, Department of Neurology, Minneapolis, MN.
John C MosherDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth Houston), Houston, TX, USA.
Nitin TandonRice University, Department of Electrical and Computer Engineering, Houston, TX.
John P SeymourRice University, Department of Electrical and Computer Engineering, Houston, TX.

Funding

BrainStorm: Highly Extensible Software for Advanced Electrophysiology and MEG/EEG ImagingR01EB026299 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LEAHY, RICHARD M · 2018 to 2025
$5.4M
DIrectional and SCalable (DISC) Microelectrode Array for Speech DecodingUG3NS125487 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI JOHN P SEYMOUR, NITIN TANDON · 2023 to 2026
$4.6M
Neural Recording and Simulation Tools to Address the Mesoscale GapRF1NS133972 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MOSHER, JOHN COMPTON, SCHROEDER, CHARLES E · 2023 to 2023
$4.5M
A Toolkit for Analysis and Visualization of Preclinical Rodent Neuroimaging ExperimentsR01NS121761 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Allan James MacKenzie-Graham, David W Shattuck · 2022 to 2026
$3.1M
NIBIB NIH HHS R01 EB026299NINDS NIH HHS R01 NS121761NINDS NIH HHS RF1 NS133972NINDS NIH HHS UG3 NS125487
6 · The paper itself

Abstract

Surgical planning for drug-resistant epilepsy often relies on stereo-EEG (sEEG) recordings obtained with cylindrical ring electrodes. Prior modeling studies, including lead-field analysis, suggest that microelectrodes distributed around an sEEG-sized insulating body offer superior source amplification and directional sensitivity that are not available with either a ring design or microelectrodes on micro-structures, e.g. Neuropixel. However, these advantages have not been demonstrated in seizure models. This study evaluated high-density sEEG recordings using directional microelectrode arrays in a kainate-mediated rat model (n=6). Two 64-channel microelectrode arrays were implanted near the hippocampus, and the signals were spatially averaged to emulate virtual ring electrodes for comparison. Device locations were reconstructed and placed in copies of the Waxholm Space Rat Brain Atlas registered to subject-specific MRI scans. In subjects exhibiting seizures (n=4), automated line length detection showed that microelectrode signals identified epileptiform activity sooner and with greater specificity than ring electrodes. In subjects that only seized post-kainate injection (n=3), manual review by a board-certified epileptologist confirmed that microelectrodes provided the earliest onset detection times. Furthermore, the microelectrode arrays' high resolution revealed distinct instances of hyperactivity occurring at similar depths but from different directions - a feature indistinguishable to standard ring electrodes. These results demonstrate that microelectrodes on a large insulating body significantly enhance signal quality and spatial localization. This technology offers a potential advancement over current clinical standards for identifying seizure foci during surgical planning.

Indexed as

epilepsyneurotechnologysource localizationstereo-EEG

Identifiers

PMID42367987
PMCPMC13307962

What OpenQuestion holds

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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.