Evidence map›Paper›PMID 42236200›Full record

ArticleeNeuro2026

Seize the Data: A User-Friendly GUI for High-Resolution Analysis of Seizure Dynamics in HD-MEA Recordings.

Melissa L Blotter, Jacob H Norby, Jacob Cahoon, Katelyn C Forbes, Logan A Stephens, Micah R Shepherd, R Ryley Parrish

Abstract read
In one paragraph

Article in eNeuro, 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

7 authors.

Melissa L BlotterNeuroscience Center, Brigham Young University.
Jacob H NorbyNeuroscience Center, Brigham Young University.
Jacob CahoonComputer Science, Brigham Young University.
Katelyn C ForbesNeuroscience Center, Brigham Young University.
Logan A StephensNeuroscience Center, Brigham Young University.
Micah R ShepherdPhysics and Astronomy, Brigham Young University ryley_parrish@byu.edu micah_shepherd@byu.edu.
R Ryley ParrishNeuroscience Center, Brigham Young University ryley_parrish@byu.edu micah_shepherd@byu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-density multielectrode arrays (HD-MEAs) generate large, complex datasets that are challenging to efficiently manage and analyze with existing tools, especially in open-source environments. To address this, we developed the BYU Seizure and Analytics Tool (YSA), an open-source graphical user interface built in Python and C++ for efficient analysis and visualization of HD-MEA recordings. The YSA features raster plots, automated discharge detection and tracking, downsampling, playback, and export functions, enabling streamlined workflows for large-scale neural data. We demonstrate the utility of the tool in the context of seizure and status epilepticus-like activity, highlighting how the YSA facilitates rapid exploration of the spatiotemporal dynamics in brain networks. This platform provides an accessible and practical solution for HD-MEA data analysis, supporting a range of neuroscience applications.

Indexed as

SeizuresUser-Computer InterfaceAnimalsElectroencephalographyHumansSignal Processing, Computer-AssistedSoftwareStatus Epilepticusepilepsygraphical user interfacestatus epilepticus

Identifiers

PMID42236200
PMCPMC13238951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.