期刊
SCIENTIFIC DATA
卷 1, 期 -, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/sdata.2014.49
关键词
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资金
- National Basic Research Program (973) of China [2015CB351702, 2011CB707800, 2011CB302201, 2010CB833903]
- Major Joint Fund for International Cooperation and Exchange of the National Natural Science Foundation [81220108014, 81020108022]
- Natural Science Foundation of China [11204369, 81270023, 81171409, 81271553, 81422022, 81271652, 81030027, 81227002, 81220108013, 81025013, 31070987, 31328013, 81030028, 81225012, 31100808, 30800295, 31230031, 91132703, 31221003, 30770594, 31070905, 31371134, 91132301, 61075042, 31200794, 91132728, 31271079, 3170980, 81271477, 31070900, 31170983, 31271087]
- National Social Science Foundation of China [11AZD119]
- National Key Technologies R&D Program of China [2012BAI36B01, 2012BAI01B03]
- National High Technology Program (863) of China [2008AA02Z405, 2014BAI04B05]
- Key Research Program of the Chinese Academy of Sciences [KSZD-EW-TZ-002]
- NIH grants [BRAINS R01MH094639, R21MH084126, R01MH081218, R01MH083246, R01MH080243, K08MH092697, R24-HD050836, R21NS064464-01A1, 3R21NS064464-01S1]
- Stavros Niarchos Foundation
- National Institute on Drug Abuse (NIDA) [PAR-12-204]
- Foundation for the Author of National Excellent Doctoral Dissertation of PR China [201107]
- New Century Excellent Talents in University [NCET-11-0698]
- Changjiang Scholars and Innovative Research Team in University of China [IRT1272]
- Mind Research Network [DE-FG02-99ER62764]
- Phyllis Green Randolph Cowen Endowment
- EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [R24HD050836] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH081218, R21MH084126, R01MH080243, R01MH083246, K01MH099232, K08MH092697, R01MH094639] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R21NS064464] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON DRUG ABUSE [R01DA040487, R01DA022582] Funding Source: NIH RePORTER
Efforts to identify meaningful functional imaging-based biomarkers are limited by the ability to reliably characterize inter-individual differences in human brain function. Although a growing number of connectomics-based measures are reported to have moderate to high test-retest reliability, the variability in data acquisition, experimental designs, and analytic methods precludes the ability to generalize results. The Consortium for Reliability and Reproducibility (CoRR) is working to address this challenge and establish test-retest reliability as a minimum standard for methods development in functional connectomics. Specifically, CoRR has aggregated 1,629 typical individuals' resting state fMRI (rfMRI) data (5,093 rfMRI scans) from 18 international sites, and is openly sharing them via the International Data-sharing Neuroimaging Initiative (INDI). To allow researchers to generate various estimates of reliability and reproducibility, a variety of data acquisition procedures and experimental designs are included. Similarly, to enable users to assess the impact of commonly encountered artifacts (for example, motion) on characterizations of inter-individual variation, datasets of varying quality are included.
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