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Lifespan Human Connectome Projects
(HCP) Data Available

The NIMH Data Archive (NDA) is pleased to announce data from Lifespan Human Connectome Projects (HCP) release 1.0 is now available. Data from two Human Connectome Lifespan Studies are now available to authorized NDA users: HCP-Aging (HCP-A, ages 36-100+) and HCP Development (HCP-D, ages 5-21). 

Lifespan HCP Release 1.0 Data includes unprocessed data of all modalities (structural MRI, resting state fMRI, task fMRI, and diffusion MRI) for 600+ subjects each from HCP-A and HCP-D and minimally preprocessed structural MRI data (only) for 129 HCP-A and 84 HCP-D subjects, respectively. Because some subjects in these studies are related, unrelated datasets are available as shared packages (option one) or can be filtered on to create a custom package (option two).

For more information about all the Human Connectome Projects, please visit the Connectome Coordination Facility’s (CCF) website.
 
Contact us at NDAHelp@mail.nih.gov 
with any questions on how to access the data.

The BRAIN Initiative and the neuroscience field as a whole are generating massive and diverse research data across different modalities, spatiotemporal scales and species in efforts to advance our understanding of the brain. The data types are being produced through development and application of innovative technologies in high-throughput -omics profiling, optical microscopy, electron microscopy, electrophysiological recording, macroscale neuroimaging, neuromodulation, and others. The BRAIN Initiative has made significant investments in the development of an infrastructure to make data available to the research community in a useful way. This infrastructure includes data archives, data standards, and software for data integration, analysis and machine learning.

This Funding Opportunity Announcement (FOA) encourages secondary analysis of the large amounts of existing data related to the BRAIN Initiative.The data do not need to be held in one of the funded BRAIN Initiative data archives, but the data must be held in a data archive that is readily accessible to the research community. Support will be provided for innovative analysis of relevant existing datasets using conventional or novel analytic methods, data science techniques, and machine learning approaches. Support may also be requested to prepare and submit existing data into any of the BRAIN Initiative data archives. Investigators should not underestimate the time and effort that may be necessary to curate or harmonize data.

For full FOA information: https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-20-120.html

For information on developing tools that will be linked to various data archvives: https://grants.nih.gov/grants/guide/rfa-files/rfa-mh-19-147.html 

The second annual curated ABCD Data Release 2.0 was made available in early April on the NIMH Data Archive. Data Release 2.0 includes baseline data on the full participant cohort, ages 9-10 years. Problems have been identified with some of the neuroimaging data contained in this release and are being addressed: 
  1. Errors have been identified in imaging data tables and associated data dictionaries for the following instruments in Data Release 2.0: abcd_dti_p101, abcd_dti_p201, abcd_ddtidp101, abcd_ddtidp201, abcd_dmdtifp201, abcd_midasemdp201, abcd_midr1bwdp201, abcd_tr2bwdp201, abcd_midabwdp201, abcd_tmidr1semdp201, abcd_tr2semdp201. Corrected files will be available soon in Data Release 2.0.1.
  1. An error was also discovered in imaging data collected from Siemens scanners between September 2017 and December 2017 where structural images are flipped left-right. These data will be corrected in a patch release later this year. Specific details regarding affected data will be made available in Known Issues documentation on the ABCD Collection page.

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