Difference between revisions of "Collaboration:mBIRN"

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(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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*U24RR025736
 
*U24RR025736
 
==Key Personnel==
 
==Key Personnel==
*fBIRN: Steve Potkin, UC Irvine
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*mBIRN: Arthur Toga, UCLA
 
*NA-MIC: Ron Kikinis, Steve Pieper
 
*NA-MIC: Ron Kikinis, Steve Pieper
 
==Grant Duration==  
 
==Grant Duration==  
02/08/2006-11/30/2010
+
05/01/2005-04/30/2010
  
 
==Grant Abstract==
 
==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.
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DESCRIPTION (from NIH Reporter): This cj>BIRN renewal application describes a research and development effort that will result in a distributed adaptive database and multiscale, multimodality atlases of the mouse brain. Tools to incorporate and compare data from gene expression patterns to gross morphology from multiple laboratories at scales from nanometers to centimeters will be built. The goals are to create an infrastructure for relating previously disparate data collections into a single system capable of quantitative visualization and linkage with previously disconnected knowledge bases. cj>BIRN will integrate the activities of five laboratories - the Laboratory of Neuro Imaging (LONI) at UCLA, the Biological Imaging Center (BIC) at CalTech, the Center for In Vivo Microscopy (CIVM) at Duke University, the Mouse Brain Library (MBL) at UT and the National Center for Microscopy and Imaging Research (NCMIR) at UCSD. The cJsBIRN is structured as five cores titled: Imaging, Atlasing, Data Federation, Applications, and Administration. The Imaging Core will acquire data for the entire project, encompassing imaging modalities from the whole brain scale to the supramolecular. The Atlasing Core will enable the processing of imaging data, reconstruction and registration of it, using techniques to integrate the various data collected into multimodal digital atlases. The Data Federation Core will organize, manage, and archive all the data collected and develop mechanisms for interaction between databases. The Applications Core contains the neurodegenerative disease test beds, the research projects that drive the development of infrastructure. And finally, the Administration Core will manage communication between and within cores, to the BIRN Central Coordinating site (BIRN-CC), and to the scientific community at large. The infrastructure will be tested by focusing the neuroscience of this project around degenerative brain disease. We chose this for several reasons. First, there are degenerative diseases such as Alzheimer's disease (AD), multiple sclerosis (MS), and Parkinson's disease (PD) that result in characteristic morphological changes that can be detected in vivo and histologically. There are effects in gray and white matter that can be measured, catalogued, and visualized. Second, these diseases have mouse models that could greatly benefit from the integrative approach proposed here. Third, AD is the focus of MorphBIRN and a synergy afforded by comparisons between these two BIRN efforts will be amplified with a common disease test bed. The Experimental Autoimmune Encephalomyelitis (EAE) model of MS and the alpha-synuclein knock-out model of PD examined during the previous funding cycle demonstrated the feasibility and potential of this model to utilize the tools and infrastructure proposed here.

Revision as of 02:11, 8 February 2010

Home < Collaboration:mBIRN

Back to NA-MIC External Collaborations

Grant#

  • U24RR025736

Key Personnel

  • mBIRN: Arthur Toga, UCLA
  • NA-MIC: Ron Kikinis, Steve Pieper

Grant Duration

05/01/2005-04/30/2010

Grant Abstract

DESCRIPTION (from NIH Reporter): This cj>BIRN renewal application describes a research and development effort that will result in a distributed adaptive database and multiscale, multimodality atlases of the mouse brain. Tools to incorporate and compare data from gene expression patterns to gross morphology from multiple laboratories at scales from nanometers to centimeters will be built. The goals are to create an infrastructure for relating previously disparate data collections into a single system capable of quantitative visualization and linkage with previously disconnected knowledge bases. cj>BIRN will integrate the activities of five laboratories - the Laboratory of Neuro Imaging (LONI) at UCLA, the Biological Imaging Center (BIC) at CalTech, the Center for In Vivo Microscopy (CIVM) at Duke University, the Mouse Brain Library (MBL) at UT and the National Center for Microscopy and Imaging Research (NCMIR) at UCSD. The cJsBIRN is structured as five cores titled: Imaging, Atlasing, Data Federation, Applications, and Administration. The Imaging Core will acquire data for the entire project, encompassing imaging modalities from the whole brain scale to the supramolecular. The Atlasing Core will enable the processing of imaging data, reconstruction and registration of it, using techniques to integrate the various data collected into multimodal digital atlases. The Data Federation Core will organize, manage, and archive all the data collected and develop mechanisms for interaction between databases. The Applications Core contains the neurodegenerative disease test beds, the research projects that drive the development of infrastructure. And finally, the Administration Core will manage communication between and within cores, to the BIRN Central Coordinating site (BIRN-CC), and to the scientific community at large. The infrastructure will be tested by focusing the neuroscience of this project around degenerative brain disease. We chose this for several reasons. First, there are degenerative diseases such as Alzheimer's disease (AD), multiple sclerosis (MS), and Parkinson's disease (PD) that result in characteristic morphological changes that can be detected in vivo and histologically. There are effects in gray and white matter that can be measured, catalogued, and visualized. Second, these diseases have mouse models that could greatly benefit from the integrative approach proposed here. Third, AD is the focus of MorphBIRN and a synergy afforded by comparisons between these two BIRN efforts will be amplified with a common disease test bed. The Experimental Autoimmune Encephalomyelitis (EAE) model of MS and the alpha-synuclein knock-out model of PD examined during the previous funding cycle demonstrated the feasibility and potential of this model to utilize the tools and infrastructure proposed here.