joc-flow-graph

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.

How to Cite

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.

This project includes:

1. Python code for generating brain network graphs on fMRI data using the Power 264 atlas
2. The resulting (de-identified) raw group-level graphs
3. Matlab code for analysing these graphs
4. 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

OSF

This project is also hosted on OSF at: https://osf.io/uf5zw/