Differential spatial computations in ventral and lateral face-selective regions are scaffolded by structural connections
Dawn Finzi, Jesse Gomez, Marisa Nordt, Alex A. Rezai, Sonia Poltoratski, Kalanit Grill-Spector
This repository contains code to analyze the data, compute statistics, and make the individual figure elements.
Code relating to figures, statistical tests, and data analyses is provided in subdirectories code/, R_code/, and results/.
The code/ subdirectories contains the matlab code used to analyze the preprocessed fMRI and dMRI data and generate .mat files included in results/. Code for generating figures 2A (code/study1/pRFs/s1_plotCentersBilat.m), 4A (code/study1/pRFs/plotAverageCoverage.m) and 4B (code/study1/pRFs/s1_covByRadialDist_contraOnly.m) are also located here.
Code to generate all other figures, and code for all the statistical analyses reported in the paper, are included in R_code/, labeled by the corresponding figure number.
results/ includes the processed data used for figure generation and statistics.
Expected outputs are .mat, .fig, .png and .pdf files.
The code in R_code/ should be runnable on your local machine assuming the following dependencies:
R (>= 3.3.0)
R.matlab
ggthemes
tidyverse
plyr
lmerTest
lsmeans
effectsize
dplyr
PairedData
The matlab analysis code in code/ was run using Matlab2015a, and relies heavily on functions from mrVista and the toonotopy processing code. It has been tested on Mac and Linux OS only and may require changing paths to reflect your local environment. The repository should be fast to download and all scripts should run in less than a minute, unless otherwise specified within the script.
Other than the specified figure generation code, some of the matlab code may not run on your local machine as some of the functions use absolute paths to niftis and FreeSurfer surfaces which are not currently included.
Please see the data availability statement in Finzi et. al., 2021 for more and contact me with any questions at: dfinzi@stanford.edu