fMRI_Preprocessing_Statistics_Recon.txt
- Creates afni_proc.py for every subject specified including pre-processing steps (re-alignment, outlier analysis, spatial smoothing, mean scaling, 1st level statistical regression model)
- Does SUMA surface reconstruction
- Runs individual models with additional first level models
- Creates anatomical ROIs by selecting certain regions from an atlas
- Creates functional ROIs by selecting active Voxels for certain conditions
- Creates anatomical/functional ROIs by merging functional and antomical ROIs
- Calculates and extracts percent signal values from statistical maps from individual ROIs
Create_Contrast_ROI_images.txt
- Creates selected fMRI contrasts per subject calls SUMA displays contrast on individual reconstructed brain surface and saves a jpg of left and right hemisphere as lateral and medial view in designated location
- Loads individual ROIs (anatomical and/or functional) per subject calls SUMA displays ROI on individual reconstructed brain surface and saves a jpg of left and right hemisphere as lateral and medial view in designated location
Noisy_Audiovisual_Regressors.m
- Creates regressor files for specified conditions and onsets for two experiments
Noisy_Audiovisual_Regressors_Individual_Response.m
- Creates regressor files for specified conditions and onsets for two experiments
- Takes individual behavior into account and creates regressors for individual subjects