Pupillometry and Brain-wide c-Fos Mapping Uncover Multimodal Mirror Emotional Contagion Related Networks of Mice

This repository contains the dataset and analysis code required to reproduce the statistics and figures presented in the paper “Pupillometry and Brain-wide c-Fos Mapping Uncover Multimodal Mirror Emotional Contagion Related Networks of Mice.”

Repository Structure

1. Pupillometry and Running Behavior Data

The repository includes pupil diameter and locomotor velocity measurements collected during emotional contagion experiments under different sensory conditions:

• Aversive condition
  • aversive_pupil_zscore.csv
  • aversive_vel_zscore.csv
• Multisensory emotional contagion
  • eco_pupil_zscore.csv
  • eco_vel_zscore.csv
• Screen-based presentation
  • eco_screen_pupil_zscore.csv
  • eco_screen_vel_zscore.csv
• Video response data
  • video_response.csv

These datasets form the basis for the behavioral and physiological analyses presented in the manuscript.

2. Brain-wide c-Fos Light-Sheet Data

Brain-wide neuronal activation data obtained via light-sheet microscopy and automated quantification are provided as:

• Regional density measures
  • demonstrator_density.csv
  • observer_density.csv
  • noshock_density.csv
• Region-level summary tables
  • areas_demonstrator_density.xlsx
  • areas_observer_density.xlsx
• Fold-change analyses
  • fold_change_demonstrator.csv
  • fold_change_observer.csv
• Statistical outputs
  • pvalues.csv
  • pvalues_nonparamtest_density_198Areas_Fixed_20241021.csv
• Anatomical reference
  • structures.json

These files allow reconstruction of the brain-wide activation maps and statistical comparisons reported in the study.

3. Network and Correlation Analyses

To reproduce the functional network analyses, the repository includes:

• Correlation matrices
  • corr_matrix_demonstrator_density.csv
  • corr_matrix_observer_density.csv
  • corr_matrix_noshock_density.csv
• Dyadic and shared activation analyses
  • Dyads_shared_results_pval.csv
• Hit summaries and volcano plots
  • hits_data.csv
  • volcano_plt.png
• Network visualizations
  • Fig_5_network.png
  • Fig_5_network_dem.png
  • Fig_5_network_obs.png
  • Fig_5_network_pruned.png

These datasets enable replication of the brain-wide correlation and network topology analyses described in the manuscript.

4. Figure Code

All figures in the manuscript can be reproduced using the provided Jupyter notebooks:

• Fig_1_code_stats.ipynb
• Fig_2_code_stats.ipynb
• Fig_3_code_stats.ipynb
• Fig_4_code_stats.ipynb
• Fig_5_code_stats.ipynb
• Fig_6_code_stats.ipynb

Supplementary figure notebooks:

• Fig_S1_code_stats.ipynb
• figure_Supplementary_2.ipynb

Supporting analysis scripts:

• stats_lib.py
• psychometric.py
• aba.py

Pre-generated figure outputs (.png) are also included for reference.