Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media Use
This repo contains the .json objects necessary to replicate the experimental conditions conducted in this study (using Asteroid Impact https://github.com/richardhuskey/asteroid_impact). It also includes code and de-identified group-level data necessary to recreate the analyses reported in:
Huskey, R., Wilcox, S., & Weber, R. (2018). Using network Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media Use. Journal of Communication.
When referencing this project, please cite its corresponding publication:
Huskey, R., Wilcox, S., & Weber, R. (2018). Network Neuroscience Reveals Distinct Neuromarkers of Flow During Media Use. Journal of Communication.
- Python code for generating brain network graphs on fMRI data using the Power 264 atlas
- The resulting (de-identified) raw group-level graphs
- Matlab code for analysing these graphs
- The .json objects that defined each experimental condition using the open-source experimental stimulus Asteroid Impact (https://github.com/richardhuskey/asteroid_impact)
NB: point 3 (above) requires the GAT and BCT toolboxes
- BCT: https://sites.google.com/site/bctnet/
- GAT: https://mailman.stanford.edu/mailman/listinfo/gat_user_forum
- The Matlab code is also dependent on the Matlab Parallel Computing Toolbox, Statistics and Machine Learning Toolbox, and the Bioinformatics Toolbox
This project is also hosted on OSF at: https://osf.io/uf5zw/