One central issue in current functional MRI research is the problem of precisely localizing regions of activation and associating these regions with anatomical labels. Functional MRI data tend to have both a low signal-to-noise ratio and a low spatial resolution compared with conventional structural MRI data. There is also considerable biologically based individual variability in the shape of the brain that is a significant confounding variable in associating the activity seen in functional MRI with a specific brain region, particularly in the cortex. One partial solution to this problem of individual variability transforms individual functional MRI data to an atlas coordinate system in the hope that this transformation will increase the precision of structural-functional co-localization. The purpose of the proposed research is to characterize and quantify the reliability and validity of two distinct approaches for relating functional activation to the anatomical domain. The first approach, adopted by many researchers and exemplified by the SPM software, maps functional MRI data from multiple anatomical coordinate systems directly into an atlas coordinate system. The second approach maps the individual's functional data to that individual's own structural coordinates, to which high-dimensional transformations are applied carrying the structural and function information into the common atlas coordinate system. For decomposing the inherent variability and validity of this approach our own BrainWorks software will be examined and compared to commercially available BrainVoyager software for mapping the functional data to that individual's own structural domain and from the structural domain to an atlas coordinate system.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB000975-02
Application #
6664928
Study Section
Special Emphasis Panel (ZMH1-CRB-B (01))
Program Officer
Haller, John W
Project Start
2002-09-23
Project End
2006-08-31
Budget Start
2003-09-01
Budget End
2004-08-31
Support Year
2
Fiscal Year
2003
Total Cost
$395,842
Indirect Cost
Name
Johns Hopkins University
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
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Tang, Xiaoying; Holland, Dominic; Dale, Anders M et al. (2015) Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer's disease. J Alzheimers Dis 44:599-611

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