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.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
5U24RR021992-05
Application #
7770843
Study Section
Special Emphasis Panel (ZRR1-BT-7 (01))
Program Officer
Swain, Amy L
Project Start
2006-02-08
Project End
2013-07-31
Budget Start
2009-12-01
Budget End
2013-07-31
Support Year
5
Fiscal Year
2010
Total Cost
$4,992,521
Indirect Cost
Name
University of California Irvine
Department
Psychiatry
Type
Schools of Medicine
DUNS #
046705849
City
Irvine
State
CA
Country
United States
Zip Code
92697
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Gupta, Cota Navin; Castro, Eduardo; Rachkonda, Srinivas et al. (2017) Biclustered Independent Component Analysis for Complex Biomarker and Subtype Identification from Structural Magnetic Resonance Images in Schizophrenia. Front Psychiatry 8:179
Doran, Eric; Keator, David; Head, Elizabeth et al. (2017) Down Syndrome, Partial Trisomy 21, and Absence of Alzheimer's Disease: The Role of APP. J Alzheimers Dis 56:459-470
van Erp, T G M; Hibar, D P; Rasmussen, J M et al. (2016) Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry 21:585
Walton, Esther; Hass, Johanna; Liu, Jingyu et al. (2016) Correspondence of DNA Methylation Between Blood and Brain Tissue and Its Application to Schizophrenia Research. Schizophr Bull 42:406-14
Maumet, Camille; Auer, Tibor; Bowring, Alexander et al. (2016) Sharing brain mapping statistical results with the neuroimaging data model. Sci Data 3:160102
Keator, David B; van Erp, Theo G M; Turner, Jessica A et al. (2016) The Function Biomedical Informatics Research Network Data Repository. Neuroimage 124:1074-9
Lavigne, Katie M; Menon, Mahesh; Woodward, Todd S (2016) Impairment in subcortical suppression in schizophrenia: Evidence from the fBIRN Oddball Task. Hum Brain Mapp 37:4640-4653
Wang, Lei; Alpert, Kathryn I; Calhoun, Vince D et al. (2016) SchizConnect: Mediating neuroimaging databases on schizophrenia and related disorders for large-scale integration. Neuroimage 124:1155-67
van Erp, T G M; Hibar, D P; Rasmussen, J M et al. (2016) Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium. Mol Psychiatry 21:547-53

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