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Download HCP rest + task data from the S3 repo, and runs the nistats/FSL GLM on time series.

Usage

python setup.py install
cd examples
python download_tasks.py
python download_rest.py

Environment variables

HCP_data: root of the HCP dataset, where it will be downloaded
HCP_AWS_KEY: for S3 bucket access
HCP_AWS_SECRET_KEY: for S3 bucket access
CDB_USERNAME: for behavioral access
CDB_PASSWORD: for behavioral_access

TODO:

  • write tests
  • automate restart when failures
  • download non-completed subjects
  • write functions to copy resources in the HCP_DATA dir
  • move nilearn like fetchers from modl into the package. For now, you may use development branch of github.com/arthurmensch/modl
  • merge downloaders and fetchers as in nilearn (?)

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Download and run GLM on HCP

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