SocialMap

Analysis code for Map Making: Constructing, Combining, and Inferring on Abstract Cognitive Maps https://doi.org/10.1016/j.neuron.2020.06.030

1. Univariate analysis

1.1. Preprocessing.m

• fMRI preprocessing using SPM12

1.2. Level1.m

• 1st level analysis (GLM)
• See Model files for model specification (/model/Model_*.m)
• See Contrast files for contrast specification (/model/Cont_*.m)

1.3. Level2.m

• 2nd level analysis (Group level one sample t-test)

2. Representational similarity analysis (RSA) in the region of interest (ROI)

2.1. RSA_1ExtctRaw.m

• Extract raw signals from an ROI

2.2. RSA_2NoiseCov.m

• Noise nomalization
• Computing representational dissimilarity matrix (RDM)

2.3. RSA_3KendallT.m

• Computing rank correation (Kendall's tau) over the permutation

3. Representational similarity analysis (RSA) in the region of interest (ROI)

3.1. RSA_sL1_RDMcrs.m

• Create a RDM matrix per searchlight

3.2. RSA_sL2_AppRSA.m

• Computing rank correation (Kendall's tau) over the permutation

3.3. RSA_sL3_smoothing.m

• Creating a map from rank correation and smooting