| Literature DB >> 26364863 |
David B Keator1, Theo G M van Erp2, Jessica A Turner3, Gary H Glover4, Bryon A Mueller5, Thomas T Liu6, James T Voyvodic7, Jerod Rasmussen2, Vince D Calhoun8, Hyo Jong Lee9, Arthur W Toga10, Sarah McEwen11, Judith M Ford12, Daniel H Mathalon12, Michele Diaz13, Daniel S O'Leary14, H Jeremy Bockholt15, Syam Gadde7, Adrian Preda2, Cynthia G Wible16, Hal S Stern17, Aysenil Belger18, Gregory McCarthy19, Burak Ozyurt20, Steven G Potkin2.
Abstract
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 4 T 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.Entities:
Mesh:
Year: 2015 PMID: 26364863 PMCID: PMC4651841 DOI: 10.1016/j.neuroimage.2015.09.003
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556