The CBFBIRN database architecture is based on the Human Imaging Database (HID) framework ( Ozyurt et al., 2010), initially developed and used under the FBIRN as a federated database system. The overall goal of the CBFBIRN is to support the interaction of the CBF database with the neuroimaging community, to facilitate data sharing, and to promote collaborative research environment for the study of CBF measures. In this paper, we present a central CBF database and associated data analysis workflows, collectively called the Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN). The efficient sharing of neuroimaging and clinical data collected at each institution was possible through the development of a federated database system and software tools ( Keator et al., 2009 Ozyurt et al., 2010). The Functional Biomedical Research Network (FBIRN) provides an example of successful data sharing through careful coordination on the part of the participating institutions, leading to advances in our understanding of schizophrenia ( Potkin and Ford, 2009 Potkin et al., 2009 Glover et al., 2012 Shin et al., 2013). There has been an increased awareness for data sharing in the neuroimaging community and the practice of sharing is growing ( Van Horn and Toga, 2009 Poline et al., 2012). The availability of these existing data combined with an increasing number of new data sets underscore the potential benefits of having a central CBF database that enables investigators to upload, analyze, explore, and share ASL data. A growing number of research and clinical sites ( Deibler et al., 2008 Pollock et al., 2009) are now using ASL as part of their imaging protocols, and are collectively creating a rich and diverse set of CBF data. Over the past decade, ASL has emerged as a robust and non-invasive method for acquiring a regional CBF map with whole-brain coverage in less than 5 minutes on commercial MRI scanners. We conclude with the lessons learned during implementation and deployment of the CBFBIRN and our experience in promoting data sharing.Īrterial spin labeling (ASL) is a magnetic resonance imaging (MRI) technique ( Detre et al., 1992) that provides a quantitative measure of cerebral blood flow (CBF). Several example results, generated by the CBFBIRN processing modules, are presented. The data have been contributed by more than 20 different research studies, investigating the effect of various conditions on CBF including Alzheimer’s, schizophrenia, bipolar disorder, depression, traumatic brain injury, HIV, caffeine usage, and methamphetamine abuse. To date, the CBFBIRN hosts CBF maps and associated clinical data from more than 1,300 individual subjects. The latter part of our work is divided into two processing modules: (1) Data Upload and CBF Quantification Module (2) Group Analysis Module that supports three types of analysis commonly used in neuroscience research. In this work, we begin with a general description of the CBFBIRN system data model and its architecture, then devote the remainder of the paper to the CBFBIRN capabilities. All capabilities and features built into the CBFBIRN are accessed online using a web browser through a secure login. In addition to serving the role as a central data repository, the CBFBIRN provides a streamlined data processing infrastructure for CBF quantification and group analysis, which has the potential to accelerate the discovery of new scientific and clinical knowledge. In this paper, we present an online CBF Database and Analysis Pipeline, collectively called the Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) that allows researchers to upload and share ASL and clinical data. There is a growing number of research and clinical sites using ASL for neuroscience research and clinical care. After more than a decade of active research, ASL is now emerging as a robust and reliable CBF measurement technique with increased availability and ease of use. Arterial spin labeling (ASL) is a magnetic resonance imaging technique that provides a non-invasive and quantitative measure of cerebral blood flow (CBF).
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