***Analysis code for fMRI pattern analysis***
from the manuscript "Human brain representations of internally generated outcomes of approximate calculation revealed by ultra-high-field brain imaging"
by Czajko, Vignaud & Eger
'rsa_predictor_matrices' contains information to create the predictor matrices for representational similarity analysis.
rsa_roi_analysis.m
- representational similarity analysis (RSA) using multiple regression on fMRI distance matrices, applied to regions of intrest
- requires Matlab and the CosmoMVPA Toolbox (www.cosmomvpa.org/)
rsa_searchlight_analysis.m
- representational similarity analysis (RSA) using multiple regression on fMRI distance matrices, applied in a searchlight
- requires Matlab and the CosmoMVPA Toolbox (www.cosmomvpa.org/)
decoding_roi_analysis.py
- multivariate decoding analysis using support vector regression (SVR)
- requires python 3, numpy, scipy, scikit learn
- when using Anaconda, nibabel needs to be installed in addition (conda install -c conda-forge nibabel)