The heterogeneity of disease and repair mechanisms in the white matter (WM) of the central nervous system demands greater specificity from noninvasive imaging markers. The fundamental hypothesis guiding this proposal is that the specificity of magnetic resonance (MR) imaging can be increased by using a multiparametric approach that exploits the complementary information between MR parameters. Despite advances in quantitative MR techniques, these do not provide suitable endpoints for clinical trials of novel treatments because they do not reliably measure the state of axons and myelin sheaths or discriminate confounding pathologies. This lack of specificity impedes clinical research on potentially treatable WM diseases, including multiple sclerosis (MS), by frustrating attempts to track the neuropathology before, during and after interventions directed at myelin repair, such as glial cell transplantation. Previous imaging studies have generally focused on 1 or 2 techniques to the exclusion of others and have typically done so in the setting of marked disease heterogeneity (e.g., as commonly seen in MS and its animal models), such that the variety of pathological changes exceeds the number of imaging parameters employed to characterize them. This study will reverse this largely unsuccessful trend by combining a more comprehensive imaging approach with a more reductionist disease model: the shaking pup, a canine mutant with a profound paucity of myelin but without the confounding effects of axonal loss, inflammation or edema. Relationships of multiple MR parameters, taken separately and in combination, with electron micrographic measures of axonal and myelin volume and density will be characterized in controls and shaking pups, before and after glial cell transplantation. The study will determine which MR parameters are most reproducible, which combinations of parameters characterize the tissue microenvironment with the greatest specificity, and which are best able to track post-transplant myelin repair in vivo. The study will advance the theoretical understanding of the pathologic substrates of measured MR phenomena in WM disease. It will have immediate relevance to clinical imaging of the human brain and serve as a baseline for future therapeutic trials of novel myelin repair strategies. Lay Summary: This study will examine the poorly understood relationships between microscopic changes in brain tissue in the """"""""white-matter"""""""" diseases (e.g. MS, the most common disabling disease of people aged 18-45) and changes observable on magnetic resonance imaging (MRI) scans. MRI is essential for evaluating novel treatments in living patients because early results may not be readily apparent from a patient's symptoms. The study will also examine the possibility of reversing the damage in brain tissue by transplanting cells with reparative potential. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
1R01NS050466-01A2
Application #
7143337
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Chen, Daofen
Project Start
2006-09-01
Project End
2009-08-31
Budget Start
2006-09-01
Budget End
2007-08-31
Support Year
1
Fiscal Year
2006
Total Cost
$327,641
Indirect Cost
Name
University of Wisconsin Madison
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Samsonov, Alexey; Alexander, Andrew L; Mossahebi, Pouria et al. (2012) Quantitative MR imaging of two-pool magnetization transfer model parameters in myelin mutant shaking pup. Neuroimage 62:1390-8
Hosseinbor, A Pasha; Chung, Moo K; Wu, Yu-Chien et al. (2012) Extracting quantitative measures from EAP: a small clinical study using BFOR. Med Image Comput Comput Assist Interv 15:280-7
Wu, Yu-Chien; Field, Aaron S; Duncan, Ian D et al. (2011) High b-value and diffusion tensor imaging in a canine model of dysmyelination and brain maturation. Neuroimage 58:829-37
Wu, Yu-Chien; Field, Aaron S; Whalen, Paul J et al. (2011) Age- and gender-related changes in the normal human brain using hybrid diffusion imaging (HYDI). Neuroimage 54:1840-53
Alexander, Andrew L; Hurley, Samuel A; Samsonov, Alexey A et al. (2011) Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains. Brain Connect 1:423-46
Samsonov, Alexey A (2008) On optimality of parallel MRI reconstruction in k-space. Magn Reson Med 59:156-64
Wu, Yu-Chien; Alexander, Andrew L (2007) A method for calibrating diffusion gradients in diffusion tensor imaging. J Comput Assist Tomogr 31:984-93
Wu, Yu-Chien; Alexander, Andrew L (2007) Hybrid diffusion imaging. Neuroimage 36:617-29
Alexander, Andrew L; Lee, Jee Eun; Lazar, Mariana et al. (2007) Diffusion tensor imaging of the brain. Neurotherapeutics 4:316-29