Collaboration:BIRN-CTSN - Revision history

Tkapur at 02:19, 8 February 2010

2010-02-08T02:19:14Z

Tkapur at 02:13, 8 February 2010

2010-02-08T02:13:38Z

Tkapur: Created page with 'Back to NA-MIC External Collaborations ==Grant#== U24RR025736 ==Key Personnel== fBIRN: Steve Potkin, UC Irvine *NA-MIC: Ron Kikinis, Steve P…'

2010-02-08T02:09:26Z

Created page with 'Back to NA-MIC External Collaborations ==Grant#== *U24RR025736 ==Key Personnel== *fBIRN: Steve Potkin, UC Irvine *NA-MIC: Ron Kikinis, Steve P…'

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Back to [[NA-MIC_External_Collaborations|NA-MIC External Collaborations]]

==Grant#==
*U24RR025736
==Key Personnel==
*fBIRN: Steve Potkin, UC Irvine
*NA-MIC: Ron Kikinis, Steve Pieper
==Grant Duration==
02/08/2006-11/30/2010

==Grant Abstract==
DESCRIPTION (from NIH Reporter): The overarching goal of the Function BIRN (FBIRN) is to develop technology and methods to conduct multi- site functional imaging studies, and to produce a knowledge base that would not otherwise be available through single-site imaging studies. The technology includes the development and refinement of multi-site, functional imaging protocols using robust cognitive tasks; the development and refinement of algorithms to reduce inter-site variability; the use of federated, distributed databases and storage; flexible and robust image processing software integrated with these databases and storage infrastructure; tools for data querying across the distributed databases to extract subsets of data from multiple sources; and the development of both classical statistical and datamining methods to reveal the patterns of imaging', clinical, and behavioral data which differentiate important population clusters. To meet this goal, the FBIRN will develop the capacity to conduct a multi-center functional imaging study in a focused group of subjects with a neuropsychiatric disorder, patients with schizophrenia. The lessons learned, the statistical methods developed, and the informatics structure constructed will be generalizable and ' applicable to a wide variety of clinical investigations. The ability to integrate subsets of clinical, functional imaging, and behavioral datasets from disparate sites to form novel datasets will be assessed in a phased series of developments and optimizations. The overall goal of this proposal is to develop tools to make multi-site functional MRI studies a common research practice. Completion of this goal enables researchers to investigate the pathophysiology of complex diseases more thoroughly, through the increased power of large-scale, collaborative neuroimaging studies. When completed, researchers in different fields and physical locations will be able to draw on a common set of tools and database systems not possible at a single site.

@@ Line 2: / Line 2: @@
 ==Grant#==
-*U24RR025736
+*U24RR026057
 ==Key Personnel==
 *CTSN BIRN: Bruce Rosen, MGH

@@ Line 4: / Line 4: @@
 *U24RR025736
 ==Key Personnel==
-*fBIRN: Steve Potkin, UC Irvine
+*CTSN BIRN: Bruce Rosen, MGH
 *NA-MIC: Ron Kikinis, Steve Pieper
 ==Grant Duration==
-/08/2006-11/30/2010
+/30/2009-08/31/2013
 ==Grant Abstract==
-DESCRIPTION (from NIH Reporter): The overarching goal of the Function BIRN (FBIRN) is to develop technology and methods to conduct multi- site functional imaging studies, and to produce a knowledge base that would not otherwise be available through single-site imaging studies. The technology includes the development and refinement of multi-site, functional imaging protocols using robust cognitive tasks; the development and refinement of algorithms to reduce inter-site variability; the use of federated, distributed databases and storage; flexible and robust image processing software integrated with these databases and storage infrastructure; tools for data querying across the distributed databases to extract subsets of data from multiple sources; and the development of both classical statistical and datamining methods to reveal the patterns of imaging', clinical, and behavioral data which differentiate important population clusters. To meet this goal, the FBIRN will develop the capacity to conduct a multi-center functional imaging study in a focused group of subjects with a neuropsychiatric disorder, patients with schizophrenia. The lessons learned, the statistical methods developed, and the informatics structure constructed will be generalizable and ' applicable to a wide variety of clinical investigations. The ability to integrate subsets of clinical, functional imaging, and behavioral datasets from disparate sites to form novel datasets will be assessed in a phased series of developments and optimizations. The overall goal of this proposal is to develop tools to make multi-site functional MRI studies a common research practice. Completion of this goal enables researchers to investigate the pathophysiology of complex diseases more thoroughly, through the increased power of large-scale, collaborative neuroimaging studies. When completed, researchers in different fields and physical locations will be able to draw on a common set of tools and database systems not possible at a single site.
+DESCRIPTION (from NIH Reporter): DESCRIPTION (provided by applicant): The main goals of the Collaborative Tools Support Network (CTSN) is to 1) provide the collaborative link needed between the BIRN Coordinating Center (BIRN CC) which supplies the BIRN infrastructure and the research community using the tools developed by the current BIRN testbeds and 2) provide outreach to scientific communities (including domains other than neuroimaging) and to provide those communities with assistance in adopting the BIRN resources. The CTSN brings together the Principal investigators, Project Managers and key personnel of each of the BIRN testbeds go off-line. This model will allow the testbed institutional memory and knowledge base to remain intact and be available to the larger community, while allowing the resources to be used in flexible manner as new collaborative projects emerge in fields no covered by the currents testbeds. Our experience has shown that groups seeking BIRN technology and assistance require broad range of time investment on the part of the CTSN. Therefore, we have chosen a model that responds to these needs. The CTSN will provide expert assistant for projects ranging from short term (e.g., help with tool Installation) to the long term (e.g., CTSC's that seek integrate BIRN technology into their existing environment). In addition, the CTSN will provide vigorous outreach to the scientific community. NIH rules now require data sharing plans for grants with costs over $500,000. The CTSN will help BIRN position itself as a data-sharing resource for the NIH community. CTSN members have deep experience In the many steps to data sharing, from writing data-sharing applications to local Institutional Review Boards, to the modification of database schemas as data from new domains are added, to the deidentificatlon of data. The deep experience that CTSN members also have in developing tools to interoperate with the BIRN infrastructure will also be crucial as members of the outside community bring their tools into the BIRN toolset. PUBLIC HEALTH RELEVANCE (provided by applicant): The Collaborative Tools Support Network will provide support for current users of the tools developed by the Biomedical Informatics Research Network (BIRN) and work to broaden their use into domains outside of the current user base.

Collaboration:BIRN-CTSN - Revision history

Tkapur at 02:19, 8 February 2010

Tkapur at 02:13, 8 February 2010

Tkapur: Created page with 'Back to NA-MIC External Collaborations ==Grant#== *U24RR025736 ==Key Personnel== *fBIRN: Steve Potkin, UC Irvine *NA-MIC: Ron Kikinis, Steve P…'

Tkapur: Created page with 'Back to NA-MIC External Collaborations ==Grant#== U24RR025736 ==Key Personnel== fBIRN: Steve Potkin, UC Irvine *NA-MIC: Ron Kikinis, Steve P…'