The Function Biomedical Informatics Research Network Data Repository

David B. Keator, Theo G M van Erp, Jessica A. Turner, Gary H. Glover, Bryon A. Mueller, Thomas T. Liu, James T. Voyvodic, Jerod Rasmussen, Vince D. Calhoun, Hyo Jong Lee, Arthur W. Toga, Sarah McEwen, Judith M. Ford, Daniel H. Mathalon, Michele Diaz, Daniel S. O'Leary, H. Jeremy Bockholt, Syam Gadde, Adrian Preda, Cynthia G. WibleHal S. Stern, Aysenil Belger, Gregory McCarthy, Burak Ozyurt, Steven G. Potkin

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)1074-1079
Number of pages6
JournalNeuroImage
Volume124
DOIs
StatePublished - Jan 1 2016

Bibliographical note

Funding Information:
We are thankful to Mrs. Liv McMillan for overall study coordination, to Ms. Shichun Ling for editorial assistance, and to the research subjects for their participation. This work was supported by the National Center for Research Resources at the National Institutes of Health (grant numbers: NIH 1 U24 RR021992 ) (Function Biomedical Informatics Research Network) and NIH 1 U24 RR025736-01 (Biomedical Informatics Research Network Coordinating Center; www.birncommunity.org ). The funding sources had no role in the study design, data collection, or publication of the data.

Publisher Copyright:
© 2015 Elsevier Inc..

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