This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Parkinson's disease (PD) is a neurodegenerative disorder characterized by slowness, stiffness and often tremor. Over 1 million Americans have PD and globally 9 million people are projected to have PD by the year 2030. To date, there is no accepted objective biological measure, i.e, biomarker, that is reflective of disease pathogenesis or of pharmacological responses to treatment. Absence of a reliable biomarker severely limits early diagnosis, research on neuroprotective therapies and appreciation of disease pathogenesis. Current radiotracing imaging techniques such as positron emission tomography (PET) and single photon emission computed tomography (SPECT) lack the ability to ascertain dopamine neuronal counts as well as density. Additionally, there is insufficient supportive data to allow their use as diagnostic tools or as surrogate endpoints in clinical trials. Likewise, magnetic resonance imaging (MRI) in its present state is not useful as a biomarker for PD. Therefore, there remains a need for a PD neuroimaging technique that provides a means to measure neuronal viability and density as well as address other issues of which present imaging techniques are unable to do. A method which could ascertain neuronal status as well as possible pathogenic factors such as iron would be potentially useful. This proposal is a step in the process of evaluating the research utility of two novel magnetic resonance imaging (MRI) techniques T1? and T2?, which may reflect the quantities of neurons and iron, respectively. T2? is sensitive to diffusion of water protons in environments with different local magnetic susceptibilities and likely reflects iron content;whileT1? reflects predominantly water-protein interactions, and, therefore might provide an indication of neuronal loss that could be used to assess PD nigral degeneration. At this time, it is not our intent to establish T1? and T2? as biomarkers or to determine their sensitivity/specificity as diagnostic tools. Our objective is to validate several aspects of T1? and T2?. We will perform a cross-sectional study of PD and control subjects using a 4 Tesla scanner and obtain SN T1? and T2? MRI measurements. Our goals are to validate T1? and T2? in their ability to separate individuals with PD from control subjects, and to determine the ability of T1? and T2? to evaluate disease severity of PD.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR008079-19
Application #
8362856
Study Section
Special Emphasis Panel (ZRG1-SBIB-S (40))
Project Start
2011-06-01
Project End
2012-05-31
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
19
Fiscal Year
2011
Total Cost
$30,257
Indirect Cost
Name
University of Minnesota Twin Cities
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
555917996
City
Minneapolis
State
MN
Country
United States
Zip Code
55455
Herzberg, Max P; Hodel, Amanda S; Cowell, Raquel A et al. (2018) Risk taking, decision-making, and brain volume in youth adopted internationally from institutional care. Neuropsychologia 119:262-270
U?urbil, Kamil (2018) Imaging at ultrahigh magnetic fields: History, challenges, and solutions. Neuroimage 168:7-32
Foell, Jens; Palumbo, Isabella M; Yancey, James R et al. (2018) Biobehavioral threat sensitivity and amygdala volume: A twin neuroimaging study. Neuroimage 186:14-21
Magnitsky, Sergey; Pickup, Stephan; Garwood, Michael et al. (2018) Imaging of a high concentration of iron labeled cells with positive contrast in a rat knee. Magn Reson Med :
Lee, Byeong-Yeul; Zhu, Xiao-Hong; Woo, Myung Kyun et al. (2018) Interleaved 31 P MRS imaging of human frontal and occipital lobes using dual RF coils in combination with single-channel transmitter-receiver and dynamic B0 shimming. NMR Biomed 31:
Wilson, Sylia; Malone, Stephen M; Hunt, Ruskin H et al. (2018) Problematic alcohol use and hippocampal volume in a female sample: disentangling cause from consequence using a co-twin control study design. Psychol Med 48:1673-1684
Nelson, Brent G; Bassett, Danielle S; Camchong, Jazmin et al. (2017) Comparison of large-scale human brain functional and anatomical networks in schizophrenia. Neuroimage Clin 15:439-448
Bolan, Patrick J; Kim, Eunhee; Herman, Benjamin A et al. (2017) MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial. J Magn Reson Imaging 46:290-302
Lyzinski, Vince; Fishkind, Donniell E; Fiori, Marcelo et al. (2016) Graph Matching: Relax at Your Own Risk. IEEE Trans Pattern Anal Mach Intell 38:60-73
Ugurbil, Kamil (2016) What is feasible with imaging human brain function and connectivity using functional magnetic resonance imaging. Philos Trans R Soc Lond B Biol Sci 371:

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