Abstract | ||
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The Function Biomedical Informatics Research Network (FBIRN) developed methods and tools for conducting multi-scanner functional magnetic resonance imaging (fMRI) studies. Method and tool development were based on two major goals: 1) to assess the major sources of variation in fMRI studies conducted across scanners, including instrumentation, acquisition protocols, challenge tasks, and analysis methods, and 2) to provide a distributed network infrastructure and an associated federated database to host and query large, multi-site, fMRI and clinical data sets. In the process of achieving these goals the FBIRN test bed generated several multi-scanner brain imaging data sets to be shared with the wider scientific community via the BIRN Data Repository (BDR). The FBIRN Phase 1 data set consists of a traveling subject study of 5 healthy subjects, each scanned on 10 different 1.5 to 4T scanners. The FBIRN Phase 2 and Phase 3 data sets consist of subjects with schizophrenia or schizoaffective disorder along with healthy comparison subjects scanned at multiple sites. In this paper, we provide concise descriptions of FBIRN's multi-scanner brain imaging data sets and details about the BIRN Data Repository instance of the Human Imaging Database (HID) used to publicly share the data. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1016/j.neuroimage.2015.09.003 | NeuroImage |
Field | DocType | Volume |
Reference values,Data mining,Data set,Functional magnetic resonance imaging,Computer science,Information repository,Network data,Federated database,Neuroimaging,Health informatics | Journal | 124 |
Issue | ISSN | Citations |
Pt B | 1053-8119 | 9 |
PageRank | References | Authors |
0.57 | 11 | 22 |
Name | Order | Citations | PageRank |
---|---|---|---|
David B. Keator | 1 | 228 | 20.24 |
Theo G. M. van Erp | 2 | 41 | 5.77 |
Jessica A. Turner | 3 | 625 | 46.04 |
Gary H. Glover | 4 | 1314 | 86.89 |
Bryon A Mueller | 5 | 127 | 12.03 |
Thomas T Liu | 6 | 1022 | 76.03 |
James Voyvodic | 7 | 20 | 2.93 |
Jerod Rasmussen | 8 | 10 | 1.60 |
Vince D Calhoun | 9 | 2769 | 268.91 |
Hyo Jong Lee | 10 | 108 | 20.27 |
Arthur W. Toga | 11 | 3128 | 261.46 |
Sarah C. McEwen | 12 | 32 | 2.45 |
Judith M. Ford | 13 | 54 | 11.86 |
Daniel H. Mathalon | 14 | 47 | 6.75 |
Michele T. Diaz | 15 | 18 | 3.29 |
Daniel S. O'Leary | 16 | 9 | 0.57 |
H. Jeremy Bockholt | 17 | 158 | 12.51 |
Syam Gadde | 18 | 353 | 39.44 |
Adrian Preda | 19 | 26 | 3.09 |
Cynthia G. Wible | 20 | 107 | 22.06 |
Hal Stern | 21 | 13 | 2.99 |
et al. | 22 | 422 | 59.98 |