Contemplative Control

Code for the paper, Mindfulness Promotes Control of Brain Network Dynamics for Self-Regulation and Discontinues the Past from the Present

Setup

platform       x86_64-pc-linux-gnu         
arch           x86_64                      
os             linux-gnu                   
system         x86_64, linux-gnu           

language       R                           
version        R version 4.0.3 (2020-10-10)

MATLAB:        9.8.0.1451342 (R2020a)

Functions

Download the network controllability and control code

Author

Dale Zhou (dalezhou [at] pennmedicine.upenn.edu)

Project Organization

    ├── data                                             <- Data goes here.
    ├── figures                                          <- Figures for manuscript.
    ├── results                                          <- Results/intermediate files.
    │   
    │ 
    │
    ├── fig2.R                                           <- Average controllabiltiy vs. drinking
    ├── fig3_dataPrep.R                                  <- Prep EMA data
    ├── fig3_controlAnalysis.m                           <- Run network control and stability
    ├── fig3_analyzePlot.R                               <- Group diffs in control metrics
    ├── fig4.R                                           <- Timescale correlation with control metrics
    ├── supplement_controlMetrics.R                      <- Correlations among control metrics
    ├── supplemental_lmAttentionImpulsivity.R            <- Attention impulsivity & emotion regulation
    ├── supplemental_multiLevelAttentionImpulsivity.R    <- Attention impulsivity & drinking
    │
    ├── README.md

Order of scripts

1. fig2.R
2. fig3_dataPrep.R
3. fig3_controlAnalysis.m
4. fig3_analyzePlot.R
5. fig4.R
6. supplement_controlMetrics.R
7. supplemental_lmAttentionImpulsivity.R
8. supplemental_multiLevelAttentionImpulsivity.R

Notes

Will need cluster to prepare inputs for fig4.R

qlogin -q qlogin.himem.q -l h_vmem=15G,s_vmem=15G