------------------------------------------------------------------ **AwareGrImaging (AwaGrIma) study** ------------------------------------------------------------------ This archive contains the minimally necessary data for reproducing the data analysis in the study. The data files have been stripped of identifying anatomical information. The curvature in each participant's dataset have been replaced with a template curvature map from *fsaverage*. You will need Matlab (tested on R2020a&b), including the Statistics Toolbox, and also our SamSrf toolbox (tested on v9.4). Other dependencies are included in the archive & the analysis code will automatically add them to the path. The main functions described below all contain help sections which give further usage information. ------------------------------------------------------------------ The folder *Analysis* contains these functions & files: ***AllSsBp('V1')*** Displays the backprojections for visible & invisible stimuli in V1 (using Benson atlas ROIs). You can also use 'V2' or 'V3'. The backprojections have been precalculated & stored in the *Backprojections* subfolder. If you delete this folder, you can recalculate the backprojections - but this will take a long time. By default the full data set is analysed. The optional second input argument toggles whether a subset of odd or even runs is analysed only. This is required for the representational similarity of backprojections. ***RepSimMat('V1')*** Calculates & displays representional similarity matrix for all stimulus conditions based on raw data. This is the default. The optional second input argument is a boolean that toggles whether to display the shape contrast similarity instead (e.g. RepSimMat('V1',false)). ***RepSimMatBp('V1')*** Calculates & displays representional similarity matrix for all stimulus conditions based on the backprojections in AllSsBp. This is the default. The optional second input argument is a boolean that toggles whether to display the shape contrast similarity instead (e.g. RepSimMatBp('V1',false)). This function requires backprojection data from AllSsBp (already included here). ***Bp_Reliability.mat*** This contains the test-retest reliability for the backprojections for each ROI based on the split-half data (see diagonal cells in RepSimMatBp). The split-half correlations are extrapolated to the full dataset using the Spearman-Brown prophecy formula. AllSsBp reads this file to display the reliability statistics if displaying the full data set. ------------------------------------------------------------------ The folder Experiment contains the stimulus protocol (requires Psychtoolbox 3) & the code to analyse the behavioural data: ***BehavAwagrima_group*** Displays the average behavioural data (responses) for all participants included in the scanning analysis (i.e. excluding participant 09 who could not do the behavioural task). ***BehavAwagrima('AwaGrIma_01')*** Displays the behavioural data (accuracy & responses) for participant 01. ***AwareGrImaging*** Runs the stimulus protocol as it was run on the scanner (but without special screen setup). If run without any input, it runs an emulation mode where the experiment is triggered by keypress. If you provide a character string as input that will be the participant (e.g. 'AwaGrIma_16'). This will then wait for a scanner trigger. The current key setup is 2 for index finger, 3 for middle finger & 4 for ring finger. In half of participants we however swapped the index & middle fingers. ------------------------------------------------------------------ Questions? s.schwarzkopf@auckland.ac.nz Last updated: 30 Nov 2022 ------------------------------------------------------------------