hcp-connectivity

Git-annex siebling of a Datalad dataset. Does NOT contain the data.

Data can be accessed with valid sciebo credentials (A) or recreated with data obtained from the connectomeDB.

Option A: Via DataLad (credentials needed)

export WEBDAV_USERNAME=XXXX
export WEBDAV_PASSWORD=XXXX-XXXX-XXXX-XXXX
datalad install -s git@github.com:pni-data/hcp-connectivity.git hcp_data
datalad siblings -d hcp_data enable -s sciebo.sfb289
datalad get hcp_data

Option B: Download from ConnectomeDB

3. Download Behavioral Data as published on connectomeDB: https://db.humanconnectome.org/. hcp1200_behavioral_data.csv

4. HCP1200 Parcellation+Timeseries+Netmats (PTN), as published on connectomeDB: https://db.humanconnectome.org/

• Download: 1003 Subjects, recon r177 + r227, PTN Release (13GB)

• Uncompress: HCP1200_Parcellation_Timeseries_Netmats.zip

• Then:

mv HCP_PTN1200/subjectIDs.txt $REPODIR/hcp_data/subjectIDs.txt
mv HCP_PTN1200/netmats_3T_HCP1200_MSMAll_ICAd100_ts2/netmats/3T_HCP1200_MSMAll_d100_ts2/netmats1.txt $REPODIR/hcp_data/netmats1_correlationZ.txt
mv HCP_PTN1200/netmats_3T_HCP1200_MSMAll_ICAd100_ts2/netmats/3T_HCP1200_MSMAll_d100_ts2/netmats2.txt $REPODIR/hcp_data/netmats2_partial-correlation.txt

3. Motion data (optional)

• Clone the HCP dataset via datalad: https://github.com/datalad-datasets/human-connectome-project-openaccess
• Get all motion data: datalad get -J 16 HCP1200/*/MNINonLinear/Results/rfMRI_REST*/Movement_RelativeRMS_mean.txt
• run: python3 get_motion.data.py <your_hcp_dataset_dir>/HCP1200