900 Subjects Data Release Reference
Released: December 8, 2015
IMPORTANT: Before you begin to use HCP Data, please review the set of available HCP Data Use Terms, and follow the steps to accept the terms that apply to your research.
The 900 Subjects Release (S900) includes behavioral and 3T MR imaging data from over 900 healthy adult participants collected in 2012-spring 2015. In addition to MR scans, 95 subjects also have some resting-state MEG (rMEG) and/or task MEG (tMEG) data available.
Highlights of the 900 Subjects Data Release:
Addition of MSM-All registration and data in minimally preprocessed and analysis packages. In addition to MSM-Sulc (cortical folding only-based registration) introduced in the S500 release, the structural MRI processing pipeline now also performs intersubject registration using individual cortical folding, myelin map, and rfMRI correlation data together (MSM-All) to a group-average surface template via a multimodal surface matching (MSM) algorithm (Robinson et al. 2014, Smith et al. 2013).
ConnectomeDB offers the "MSM-Sulc + MSM-All" package type for all S900 subjects and the “S500 to S900 Extension Only” packages to "patch" users' existing S500 data with the MSM-All and other added files available for the S900 release.
- Resting State fMRI FIX-Denoised (Extended) packages expanded. FIX-Denoised (Extended) rfMRI packages have been expanded to contain a “stats.dscalar.nii” and a “RestingStateStats” folder. These files provide information about different types of ‘noise’ and ‘signal’ in HCP resting state data, gleaned by partitioning the variance according to different processing stages in the FIX denoising pipeline.
- Physiological data files corrected. We have corrected timing errors in the processed physiological log files for each scan that resulted in variable offsets in timing. These corrected .txt files are in the S900 data packages.
- Source-level rMEG and tMEG data expanded to include beamformer connectivity results. New source-level processing pipelines using the Beamformer filters inverse algorithms have been implemented to estimate time-resolved dense connectomes in a number of frequency bands.
- Updates to MEG processing pipelines. New versions of the megconnectome pipeline software is available: http://humanconnectome.org/documentation/HCP-pipelines/meg-pipeline.html
- Updated group-average rfMRI dense connectivity and tfMRI data. Group-average rfMRI dense connectivity data and group-average analyzed task data for an 800+ group of S900 subjects with complete rfMRI data and tfMRI data is currently being prepared for release in December 2015. These data will be released as Connectome Workbench-compatible datasets.
- Updated parcellation, timecourse, and netmap (PTN) data. Individual PTN data for all S900 subjects with complete rfMRI data (800+ subjects) is also being prepared for release.
IMPORTANT: Subject 142626 removed from ConnectomeDB.
We have recently found that subject 142626, released in the 500 Subjects Release (June 2014), has the same identity as another subject in the HCP study. Thus, we have removed all data for subject 142626 from ConnectomeDB. For any ongoing analyses, we recommend that if possible you exclude subject 142626 from your analyses.
We are not removing the duplicate subject’s dataset, which is comparable in quality to other released subjects, from ConnectomeDB or from ongoing HCP analyses. However, for reasons of confidentiality, we are electing to not reveal the subject number for the duplicate subject. If the subject number of the duplicate subject is found by other investigators using HCP data, we request that you to keep this information confidential.
Please check on our Known Issues and Planned Fixes page on the HCP Wiki for up-to-date information on data releases.
- Appendix 1: HCP scan protocols (PDF)
- Appendix 2: Matlab code for voxel-wise correction of dMRI gradients (PDF)
- Appendix 3: File names and directory structure for 900 subjects data (PDF)
- Appendix 4: HCP protocol standard operating procedures (SOPs) (PDF)
- Appendix 5: MR Data acquisition information for an exemplar subject (PDF)
- Appendix 6: Task fMRI and tMEG E-Prime key variables (PDF)
- Appendix 7: tMEG: Extracting trial subjects from data produced by tmegproc pipeline (PDF)