Seize the Data: A User-Friendly GUI for High-Resolution Analysis of Seizure Dynamics in HD-MEA Recordings.
Overview
- Neuroscience Center, Brigham Young University
- Departments of Cell Biology and Physiology, Brigham Young University
- Computer Science, Brigham Young University
- Physics and Astronomy, Brigham Young University
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.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
No file of the authors' code could be read here: it is described below, and read at its source.
shorturl.at/vlegn
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
- 27 September 2026: the link answers (HTTP 200)
Software accessibility
The YSA was developed in Python (v3.10.9) and is compatible with Windows and macOS. Source code and user documentation are available at Lab (2025). The software relies on standard Python libraries including [PyQt5, pyqtgraph, scipy, pandas, scikit-learn]. A detailed README file provides setup instructions and usage guidelines, as well as an example data file (Lab, 2025).
Reproduced under the paper's license (CC BY), from the paper cited above.
Tracing map
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Data
No dataset and no data link were found in the paper.
Data Availability
The data and code that support the findings of this study are available from the corresponding author upon request.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 2, 28 September 2026
- Funding: added American Epilepsy Society; Epilepsy Foundation; Epilepsy Society
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 3 keywords, 8 MeSH terms, 43 references.
Cite
This paper
Blotter, M. L., Norby, J. H., Cahoon, J., Forbes, K. C., Stephens, L. A., Shepherd, M. R., & Parrish, R. R. (2026). Seize the Data: A User-Friendly GUI for High-Resolution Analysis of Seizure Dynamics in HD-MEA Recordings. eNeuro, 13(6), ENEURO.0432-25.2026. https://
BibTeX
@article{blotter2026seiz
author = {Blotter, Melissa L and Norby, Jacob H and Cahoon, Jacob and Forbes, Katelyn C and Stephens, Logan A and Shepherd, Micah R and Parrish, R Ryley},
title = {{Seize the Data: A User-Friendly GUI for High-Resolution Analysis of Seizure Dynamics in HD-MEA Recordings}},
journal = {eNeuro},
year = {2026},
month = jun,
volume = {13},
number = {6},
pages = {ENEURO.0432--25.2026},
publisher = {Society for Neuroscience},
issn = {2373-2822},
doi = {10.1523/
url = {https://
pmid = {42236200},
pmcid = {PMC13238951}
}
RIS
TY - JOUR
AU - Blotter, Melissa L
AU - Norby, Jacob H
AU - Cahoon, Jacob
AU - Forbes, Katelyn C
AU - Stephens, Logan A
AU - Shepherd, Micah R
AU - Parrish, R Ryley
TI - Seize the Data: A User-Friendly GUI for High-Resolution Analysis of Seizure Dynamics in HD-MEA Recordings
T2 - eNeuro
J2 - eNeuro
PY - 2026
DA - 2026/
VL - 13
IS - 6
SP - ENEURO.0432
EP - 25.2026
SN - 2373-2822
PB - Society for Neuroscience
DO - 10.1523/
UR - https://
LA - en
ER -
CSL-JSON
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