The Function Biomedical Informatics Research Network Data Repository.

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Keator, DB; van Erp, TGM; Turner, JA; Glover, GH; Mueller, BA; Liu, TT; Voyvodic, JT; Rasmussen, J; Calhoun, VD; Lee, HJ; Toga, AW; McEwen, S; Ford, JM; Mathalon, DH; Diaz, M; O'Leary, DS; Jeremy Bockholt, H; Gadde, S; Preda, A; Wible, CG; Stern, HS; Belger, A; McCarthy, G; Ozyurt, B; Potkin, SG; FBIRN,

Published Date

  • January 2016

Published In

Volume / Issue

  • 124 / Pt B

Start / End Page

  • 1074 - 1079

PubMed ID

  • 26364863

Pubmed Central ID

  • 26364863

Electronic International Standard Serial Number (EISSN)

  • 1095-9572

International Standard Serial Number (ISSN)

  • 1053-8119

Digital Object Identifier (DOI)

  • 10.1016/j.neuroimage.2015.09.003

Language

  • eng