Brain states during movie-watching reflect shared sensory anchors and film- and person- specific processes in association cortex - Data
Description
This repository contains anonymized data and analysis scripts for the manuscript "Brain states during movie-watching reflect shared sensory anchors and film- and person-specific processes in association cortex" by Wallace and colleagues (under consideration). Included are raw multi-dimensional experience sampling (mDES) data across eight film clips and associated cortical gradient coordinates derived from uninterrupted movie-watching fMRI data (Naturalistic Neuroimaging Database; Aliko et al., 2020). Corresponding scripts written in Python and R for random-effects models and primary figures are also provided.
Files
Steps to reproduce
The first step of the analysis after collecting the experience sampling data is to decompose the data into PCA components using ThoughtSpace. A shortcut to the ThoughtSpace GitHub webpage is included in the Related Links for convenience. ThoughtSpace is a Python-based toolbox for analysing experience sampling data via Principal Components Analysis (PCA) to identify common "patterns of thought." You will need to have ThoughtSpace and GitHub installed to perform the PCA analysis and to produce the corresponding word clouds found in the paper. Data files can be found in the 'Data files' folder, including raw experience sampling data, movie details [title, run_time], comprehension, gradient coordinates, PCA output, and the fixed effects files for the dot product analyses. Python and R scripts are included in the 'Scripts' folder; the R scripts are used to run statistical analyses (ANOVA, LMMs), and the Python scripts are used to develop scatterplots for the main figures in the manuscript. In addition, the dot product analysis script was written in Python and can be used to create dot product brain maps corresponding to the random effects models as well as to visualize the gradient maps independently. Brain maps for Gradients 1-5 and the Yeo-7 Network are also included in the 'Brain Maps' folder.