کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6023821 | 1188653 | 2016 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The Function Biomedical Informatics Research Network Data Repository
ترجمه فارسی عنوان
مخزن داده شبکه تحقیقاتی اطلاعات بیومدیکال
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موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب شناختی
چکیده انگلیسی
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 4Â 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 124, Part B, 1 January 2016, Pages 1074-1079
Journal: NeuroImage - Volume 124, Part B, 1 January 2016, Pages 1074-1079
نویسندگان
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,