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NeuroActivityToolkit-Toolbox for Quantitative Analysis of Miniature Fluorescent Microscopy Data
Evgenii Gerasimov1, Alexander Mitenev1, Ekaterina Pchitskaya1
1Laboratory of Molecular Neurodegeneration, Peter the Great St. Petersburg Polytechnic University, Khlopina St. 11, 194021 St. Petersburg, Russia.
Journal of Imaging
|November 24, 2023
Summary
NeuroActivityToolkit offers quantitative analysis for miniscope data, enabling researchers to study neuronal network dynamics and functional changes in brain activity. This tool aids in understanding complex neural processes and disease states.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Systems Neuroscience
Background:
- In vivo neuronal activity visualization is crucial for understanding brain function and network architecture.
- Miniscope technology allows simultaneous recording of thousands of neurons in freely behaving animals, offering insights into learning, stress, and neurological diseases.
- Analyzing large miniscope datasets for high-level quantitative insights remains challenging due to limited publicly available software.
Purpose of the Study:
- To introduce NeuroActivityToolkit, a novel software toolbox for advanced quantitative analysis of neuronal calcium signals recorded by miniscopes.
- To provide researchers with tools for calculating network properties, analyzing neuronal correlations, and visualizing network states.
Main Methods:
- Development of NeuroActivityToolkit, a public software repository with a detailed tutorial.
- Implementation of statistical metrics for neuronal activation, simultaneous co-activity, and pairwise correlations.
- Inclusion of Principal Component Analysis (PCA) for visualizing and characterizing neuronal network states and changes in 2D coordinates.
Main Results:
- NeuroActivityToolkit provides diverse statistical metrics for neuronal network properties.
- The toolbox facilitates the analysis of neuronal pairwise correlations.
- Network states and changes can be visualized and characterized using PCA analysis.
Conclusions:
- NeuroActivityToolkit addresses the need for accessible high-level quantitative analysis of miniscope data.
- The toolbox is valuable for statistical interpretation of neuronal activity in various experimental neuroscience tasks.
- It supports the study of functional changes in brain networks related to stimuli and diseases.
