HCP Young Adult

1200 Subjects Data Release

Release Date: Mar 01, 2017
Type: Data Release

The 1200 Subjects Release (S1200) includes behavioral and 3T MR imaging data from 1206 healthy young adult participants (1113 with structural MR scans) collected in 2012-2015. 

In addition to 3T MR scans, 184 subjects have multimodal 7T MRI scan data and 95 subjects also have some resting-state MEG (rMEG) and/or task MEG (tMEG) data available. For the first time, 3T MRI and behavioral retest data for 46 subjects is also available. 

Update April 11, 2018: 7T fMRI Reprocessing release

  • Corrected minimally preprocessed 7T resting state, movie watching task and retinotopy task fMRI data (a bug in the AP unwarping necessitated a full rerun of preprocessing) for all 184 7T subjects
  • FIX-cleaned 7T retinotopy data (newly available), in addition to reprocessed FIX-cleaned 7T resting state and movie-watching data
  • Per subject 7T imaging parameters, available as a single "quick download": 7T MRI Session Summary CSVs (184 subjects) in ConnectomeDB 
  • Behavioral and individual difference measure updates (applied to all HCP subjects, including Retest subjects):
    • Pain intensity raw score and pain interference T-score (from NIH Toolbox) added
    • Cognition composite scores (from NIH Toolbox) added
    • Words-In-Noise Audition (from NIH Toolbox) version 2 scores added
    • Bug fixed in NEO Agreeableness scoring (from UPenn CNP battery)
    • Achenbach Self-report scores are T-scores, not percentile scores as originally reported
    • Clarified descriptions of several measures in the S1200 release Data Dictionaryavailable on the HCP wiki

Highlights of the 1200 Subjects Data Release:

  • All released 3T Diffusion data on all HCP subjects re-preprocessed with updated diffusion preprocessing pipeline.   All 3T diffusion data was re-processed using a new v3.19.0 version of the diffusion pipeline that incorporates an updated version of FSL’s EDDY that significantly improves slice outlier detection to remove noise caused by subject movement. Therefore, diffusion data from previous releases should not be mixed in analyses with the “cleaner” dMRI data now available in the S1200 release.
  • Addition of 3T Retest Data. Subjects were recruited to undergo the full 3T HCP imaging and behavioral protocol for a second time. Behavioral and 3T Retest imaging data is available on 46 and 45 of these subjects, respectively. Retest datasets are available in the WU-Minn HCP Retest Data project on the ConnectomeDB splashpage. 7T data is available on 22 Retest subjects.
  • Addition of preprocessed 7T Diffusion data. Only unprocessed Diffusion data was released as part of the Initial 7T Release (June 2016). For all 7T subjects with dMRI scans, 7T dMRI data preprocessed v3.19.0 version of the diffusion pipeline is now available. 
  • Resting State Stats added to 7T rfMRI ICA-FIX cleaned datasets. Resting state stats were not available as part of the 7T rfMRI ICA-FIX Extended packages of the Initial 7T Release (June 2016). 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. 
  • Genetically verified family structure measures. We have updated restricted data measures for Mother_ID, Father_ID and ZygosityGT based on genotyping data available from bood and saliva samples from HCP subjects. For some subjects, these genetically verified values for these measures have changed from what they were in previous releases.  Notably, 36 HCP twin pairs that who self reported (now the ZygositySR measure) as dizygotic twins were found to be genetically monozygotic.
  • QC_Issue measure added. A subject data measure has been added to ConnectomeDB to flag subjects with notable brain anatomical, processing, or data noise issues found in the HCP Quality Control process.  The issues are notable, but were not considered severe enough to exclude the subject's imaging data from release. Codes for each issue included are detailed in "Subjects with Issues noted in the HCP quality control process" and more specific information on the these subjects is available on the HCP QC Issues wiki page.
  • Genetic data on all HCP subjects. Genome-wide Association Study (GWAS) analyzed data for all HCP subjects with useable blood or saliva-based genetic material is available on NIH’s dbGaP. A separate access process through dbGaP is required for downloading HCP genetic data.
  • MSM-All-registered group-average rfMRI dense connectivity data and group-ICA Parcellation, timecourse, and netmap (PTN) data. Group-average rfMRI dense connectivity data for groups of 1003 and 812 (images reconstructed with improved recon algorithm only) S1200 subjects with complete rfMRI data, group-ICA "parcellations" at 6 dimensionalities (levels of detail), individual subject node timeseries for each dimensionality (1003 group only), individual subject and group average full and partial correlation netmats (parcellated connectomes, 1003 group only), and scripts for running these high-level connectivity analyses are available on the ConnectomeDB S1200 Project page
  • MSM-Sulc and MSM-All-registered group-average tfMRI data. For all 997 S1200 subjects with complete tfMRI data, group-averages for both MSM-Sulc and MSM-All registered tfMRI Cohen's D effect-size map data are available for all 7 tasks and contrasts on the ConnectomeDB S1200 Project page as part of the Connectome Workbench-compatible Group Average dataset


IMPORTANT: Subject 142626 removed from ConnectomeDB.

We 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. 


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