Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Astrocytes contribute to olanzapine-mediated reversal of Kleefstra Syndrome-associated neurodevelopmental regression.

The Journal of clinical investigation·2026

Same author

Burst suppression: a default brain state associated with loss of network complexity.

Brain : a journal of neurology·2026

Same author

Disrupted temperature-sleep coupling mechanism in a Dravet syndrome mouse model.

Nature communications·2026

Same author

Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology·2026

Same author

Indirect crosstalk between signalling pathways activated by CGRP and Piezo1 in human iPSC-derived endothelial cells relevant to migraine.

Cephalalgia : an international journal of headache·2025

Same author

The role of BDNF signaling in hypoxia-induced apoptosis in cultured cortical networks.

Journal of neurophysiology·2025

Search research articles

Related Experiment Video

Updated: Sep 20, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

MEA-ToolBox: an Open Source Toolbox for Standardized Analysis of Multi-Electrode Array Data.

Michel Hu^1,2, Monica Frega³, Else A Tolner^1,2

¹Department of Human Genetics, Leiden University Medical Centre, Leiden, the Netherlands.

Neuroinformatics

|June 10, 2022

Summary

This summary is machine-generated.

MEA-ToolBox is a free, open-source software for analyzing multi-electrode array (MEA) data. It streamlines neuronal network analysis for disease modeling and drug testing, identifying phenotypes in patient-derived cells.

Keywords:

Burst analysis Data visualization Electrophysiology Multi-electrode array Neuron Spike analysis

More Related Videos

Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs

Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs

Published on: May 12, 2017

Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

Published on: September 27, 2024

Related Experiment Videos

Last Updated: Sep 20, 2025

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

High-Throughput Analysis of Optical Mapping Data Using ElectroMap

Published on: June 4, 2019

Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs

Electrophysiological Analysis of human Pluripotent Stem Cell-derived Cardiomyocytes hPSC-CMs Using Multi-electrode Arrays MEAs

Published on: May 12, 2017

Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

Author Spotlight: Advancing Genetic Epilepsy Studies with Multi-Electrode Array-Based Long-Term Electrophysiological Monitoring of Human Brain Assembloids

Published on: September 27, 2024

Area of Science:

Neuroscience
Computational Biology
Bioinformatics

Background:

Multi-electrode array (MEA) technology is crucial for assessing in vitro neuronal networks, aiding disease modeling and drug discovery.
Analyzing the large datasets generated by MEA experiments presents a significant challenge for researchers.
Existing software solutions are often inaccessible or only address partial data analysis.

Purpose of the Study:

To introduce MEA-ToolBox, a free, open-source software designed for comprehensive analysis of MEA data.
To automate spike detection, data processing, and extraction of network-level information from raw MEA recordings.
To provide a user-friendly graphical interface (GUI) for researchers without coding expertise.

Main Methods:

MEA-ToolBox employs literature-based algorithms for spike detection and data processing.
It extracts single-channel and array-wide network metrics, including spike trains, burst analysis, and connectivity.
The software facilitates sequential analysis of multiple MEA recordings and offers data inspection and post-processing functionalities.

Main Results:

MEA-ToolBox successfully processed MEA recordings from human induced pluripotent stem cell (hiPSC)-derived neuronal networks.
The analysis revealed distinct phenotypes in neuronal networks from patients with neurodevelopmental disorders compared to healthy controls.
The toolbox demonstrated its capability to extract meaningful parameters for differentiating normal and diseased neuronal profiles.

Conclusions:

MEA-ToolBox offers a streamlined, automated solution for analyzing complex MEA data.
It effectively aids in identifying cellular phenotypes relevant to neurodevelopmental disorders using hiPSC models.
The open-source, GUI-based nature of MEA-ToolBox enhances accessibility for broader research applications in neuroscience and drug development.