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preprocessing and analysis scripts for the Reveratrol study (https://doi.org/10.1016/j.neuroimage.2018.03.023)

Python 86.69% Shell 3.10% MATLAB 2.53% Jupyter Notebook 6.42% Makefile 0.08% R 1.17%

rsv_rsanalysis's Introduction

preprocessing of 3T resting-state data from RESVERATROL-Study (NRO-148)

  • functional_preprocessing: nipype-based scripts for resting-state preprocessing (see README in folder for more details)

  • quality_reports: nipype-based scripts for quality control

    • quality_reports/julia_qa/ -> quality reports based on Julia Huntenburgs scripts (generate_report_part2.py)
    • quality_reports/poldrack_qa -> quality reports based on Russ Poldrack (QA_and_header_fix_wf.py)
    • compare_meanFD/ -> comparison of mean FD estimated by two pipelines (detection of error related to angle/radians in calculation of FD)
    • hippocampal_subfields/ -> quality control of hippocampus connectivity (generate_report.py)
  • seedbased_connectivity: nipype-based scripts to generate hippocampus connectivity

    • after_scrubbing_FS_derived_hc_ant_post (seed based connectivity based on Freesurfer ROIs & scrubbed data)
    • SCA (seed based connectivity absed on MNI coordinates)
    • FS_derived_hc_ant_post (seed based connectivity based on Freesurfer ROIs)
    • transform_HC_to_MNI (transform HC maps to MNI space for quality control)
  • import_from_afs.sh (get data from AFS repository)

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