Measuring the Electrophysiological Activity of Neuronal Networks Using Micro-Electrode Arrays

Source: Frega, M. et al. Rapid Neuronal Differentiation of Induced Pluripotent Stem Cells for Measuring Network Activity on Micro-electrode Arrays. J. Vis. Exp. (2017). The video demonstrates how to use a microelectrode array (MEA) to record the electrophysiological activity of neurons derived from human induced pluripotent stem cells (hiPSCs). Electrophysiological activity from a multiwell MEA containing a neuron-astrocyte co-culture is recorded to detect action potentials from multiple neurons in the network, confirming the successful differentiation of hiPSCs into neurons.

Publication Details

Journal
Journal of Visualized Experiments
Published
2025-07-24
DOI
https://doi.org/10.3791/31169
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Measuring the Electrophysiological Activity of Neuronal Networks Using Micro-Electrode Arrays

Journal of Visualized Experiments
Neuroscience and Neural Engineering
article

Measuring the Electrophysiological Activity of Neuronal Networks Using Micro-Electrode Arrays

article en

Abstract

Source: Frega, M. et al. Rapid Neuronal Differentiation of Induced Pluripotent Stem Cells for Measuring Network Activity on Micro-electrode Arrays. J. Vis. Exp. (2017). The video demonstrates how to use a microelectrode array (MEA) to record the electrophysiological activity of neurons derived from human induced pluripotent stem cells (hiPSCs). Electrophysiological activity from a multiwell MEA containing a neuron-astrocyte co-culture is recorded to detect action potentials from multiple neurons in the network, confirming the successful differentiation of hiPSCs into neurons.

Journal of Visualized Experiments
Affordable and clean energy
Openalex Percentile: Top 80%
Neuroscience and Neural Engineering
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Measuring the Electrophysiological Activity of Neuronal Networks Using Micro-Electrode Arrays · Journal of Visualized Experiments (2025) | TGRS Research Map | TGRS