Cho2024_MouseEscapeData

🔗 Mouse Escape Behaviors and mPFC-BLA Activity Dataset: Understanding Flexible Defensive Strategies Under Threat (DOI: 10.1038/s41597-024-03688-0)

💡 Please email Jee Hyun Choi at [email protected] or SungJun Cho at [email protected] with any questions or concerns. Alternatively, you can simply raise a GitHub issue.

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🔥 Getting Started

This repository hosts the scripts required to replicate the burst detection analysis and the figures presented in the Technical Validation section of our paper.

For installation, download the repository folder, modify the paths to reflect the folder's location, and execute the scripts. Please note that, to ensure the scripts run properly, it is necessary to install EEGLAB (v2023.0) and download our dataset. The EEGLAB software is available for download from its official website, while our dataset is accessible through the GIN G-Node repository (within data_BIDS directory).

After downloading, move EEGLAB to the utils folder and data_BIDS to the main directory for easier access. For instance, you can run:

git clone https://github.com/jeelabKIST/Cho2024_MouseEscapeData.git
cd Cho2024_MouseEscapeData/
mv ../eeglab2023.0 ./utils
mv ../data_BIDS ./

📝 Guidelines

Main Scripts

• NOTE: Please execute the main scripts in the sequence outlined below. To ensure that the analyze_*.m scripts run successfully, save the burst detections by running detect_bursts.m first.

  File	Description
  detection_outlines.m	Plots exemplary burst events and summarizes the burst detection method.
  detect_bursts.m	Detects neural bursts from the mouse LFP recordings.
  analyze_beta_vs_gamma.m	Compares the beta and high gamma burst occurrence rates under the solitary condition.
  analyze_solitary_vs_group.m	Compares the burst occurrence rates between the solitary and group conditions.

Utility

• utils include MATLAB functions necessary for running the main scripts. Every function script includes a description about its inputs and outputs. Please refer to each script for further details.

🎯 Requirements

The analyses and visualizations in this paper had following dependencies:

MATLAB 2022b
EEGLAB v2023.0

🪪 License

Copyright (c) 2024-Present SungJun Cho and Jee Lab. Cho2024_MouseEscapeData is a free and open-source software licensed under the MIT License.