HCP_dataset_analyis

• code for analysing HCP dataset
• subject data can be found https://balsa.wustl.edu/study/show/9Zkk
• PRF output can be found here: https://osf.io/y4hfn/

Analysis specifics

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• HCP subjects were first pre-processed and averaged
• pRF parameters are extracted using fit/submit_fit_jobs.py on Lisa with gaussian model
• get yeo atlas see post_fit/get_yeo_atlas_gii.txt
• DMN regions (ANG/MED_PAR/SUP_MED_FR/LAT_TEMP) are put on fsaverage flatmap overlay.svg
• DMN regions of interest are drawn in inkscape of fsaverage post_fit/add_dmn_roi.py
• pRF derivatives of subject '999999' are analysed and drawn on fsaverage pycortex map using pp_roi.py
• Vision regions of interest (V1/V2/V3/VO/DO/LO/SUP_PAR/TPJ/sPCS/iPCS/mPCS/INS/DLPFC) are drawn manually in inkscape
• '999999' PRF derivatives summary for each ROI are put in h5 files with post_fit/post_pp_roi.py
• pRF derivatives of all others subject are analysed using post_fit/pp_roi.py
• PRF derivatives summary of all others subject for each ROI are put in h5 files with post_fit/post_pp_roi.py
• Figure 1C is made using post_fit/notebooks/MakeFigure1C.ipynb
• Figure 2A is made using post_fit/notebooks/MakeFigure2A.ipynb
• Figure 2B is made using post_fit/notebooks/MakeFigure2B.ipynb
• Figure 3 and S3 are made using post_fit/notebooks/MakeFigure3.ipynb