MEA-NAP File Conversion Tutorial

This video tutorial will guide you through converting .raw files from Multichannel and Axion Maestro MEA recording systems and .h5 files from Multichannel MEA recording systems to .mat files, so you can analyze your data using the interactive GUI for Microelectrode Array Network Analysis Pipeline (MEA-NAP).
Other UA-cam tutorials
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MEA-NAP GUI Tutorial: • MEA-NAP GUI Tutorial
More information about MEA-NAP
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MEA-NAP code is available at: github.com/SAND-Lab/MEA-NAP/
MEA-NAP description is available at: www.biorxiv.org/content/10.1101/2024.02.05.578738
Example dataset, output folder, and this video: doi.org/10.7910/DVN/Z14LWA
MEA-NAP is a streamlined diagnostic and analytic tool for cellular-scale network activity data obtained from neuronal cultures using microelectrode arrays (MEA). MEA-NAP provides a straight forward way for new and experienced MATLAB users to quickly compare spike detection methods, neuronal activity (including firing rate and burst detection), and functional connectivity (including network metrics from graph theory and dimensionality reduction methods). MEA-NAP performs batch analysis of an experimental dataset (e.g., MEA recordings from wild-type and knock-out cultures at multiple developmental time points). MEA-NAP produces summary plots and performs statistics on these features and organizes the output figures in a convenient file structure. The user can then identify network-level developmental or genotypic differences in their MEA dataset. The pipeline is written in MATLAB and was designed for experimentalists with little or no experience with MATLAB or network analysis. Experienced users will find the batch analysis and automatic figure generation convenient for examining both individual network and group comparisons.
The interactive GUI facilitates the process of adjusting parameters to your specific data, especially if you have limited or no background in MATLAB.