HCP Young Adult

Announcing release of S900 “PTN” and other Group Average Data

Author: Jenn Elam
Published: Jan 12, 2016
Study: HCP Young Adult
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We are pleased to announce the release of extensively processed data associated with the HCP S900 Data Release, which is first HCP data release to capitalize on cortical areal feature-based surface registration (“MSMAlll”, using folding, myelin maps, and resting-state networks).

The release includes (i) the “PTN” dataset (Parcellation + Timeseries + Netmats); (ii) group average dense functional connectomes; and (iii) other group average data (plus composite of individual-subject maps).

Download the data here (requires ConnectomeDB login).

PTN (Parcellation + Timeseries + Netmats) dataset. This analysis is based on data from all 820 subjects in the S900 data release having four complete rfMRI runs (with 100% of collected timepoints), yielding the following outputs:

  1. Group-average “parcellations”, obtained by means of group-ICA.
  2. Subject-specific sets of “node timeseries” – for each subject, a representative time series per ICA component (“parcel”).
  3. A subject-specific “parcellated connectome” – for each subject, a nodes x nodes matrix – the functional connectivity between node timeseries.

Additional information is provided in the pdf (HCP900_GroupICA+NodeTS+Netmats_Sumary_15dec2015.pdf) included in the download.

HCP_S900_GroupAvg_v1 dataset. This dataset (1.4 GB zip file) includes group-average structural and functional MRI data for the HCP S900 data release (December, 2015). Also included are composite files containing MSMAll-registered maps of folding, ‘sulc’, myelin, and thickness that enable efficient navigation of individual subject data. An associated tutorial document aids in viewing the data using Connectome Workbench ‘wb_view’ visualization software.

HCP_S900 group average functional connectivity. Two group average dense functional connectomes have been generated from 820 subjects in the S900 release, one based on MSMAll (recommended for most analyses) and the other based on MSMSulc (less well aligned, available for comparison purposes). Because these are large (33 GB) files, we recommend accessing them remotely, as explained in the tutorial document noted above. However, they can also be downloaded directly from ConnectomeDB via:

https://db.humanconnectome.org/app/action/ChooseDownloadResources?project=HCP_Resources&resource=GroupAvg&filePath= HCP_S900_820_rfMRI_MSMAll_groupPCA_d4500ROW_zcorr.zip

and https://db.humanconnectome.org/app/action/ChooseDownloadResources?project=HCP_Resources&resource=GroupAvg&filePath= HCP_S900_820_rfMRI_MSMSulc_groupPCA_d4500ROW_zcorr.zip