This repository contains analysis code and data for the following manuscript:

Park, Doh, Lee, Park, and Ahn "The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning"

preprint DOI: https://doi.org/10.1101/2022.08.01.502269

fMRI data: https://openneuro.org/datasets/ds004647/versions/1.0.2

• code: code for analysis and plotting
  • behav: code for behavioral analysis
    • 1_task_performance: behavioral analysis; Figure 2
    • 2_fit_model: fit models using Rstan (Hierarchical Bayesian Analysis)
    • 3_plot_modeling_output: compare models with leave-one-out cross-validation information criterion (LOOIC) and plot posterior distributions of the best-fitting model; Figure 3
    • 4_choice_consistency: plot choice consistency with task data and model regressors
  • fMRI: code for fMRI analysis; each folder includes 1st-level and 2nd-level GLM codes
    • GLM1: model-based fMRI analysis using reward prediction error (RPE); Figure 5A
    • GLM2: categorical fMRI analysis related to Pavlovian bias
    • GLM3: model-based fMRI analysis using decision value
    • PPI: PPI analysis; Figure 5B
    • smoothing: codes for smoothing
• data: task data and model regressors
  • covariates: covariate table for fMRI analysis
  • data_behav: task data
  • data_modelregW: model regressors (action weights for go (Wgo) and nogo (Wnogo))
  • seed_striatum_cluster_forPPI: seed region (striatum) cluster for PPI analysis
• stanmodel: stan files for models