The Neuroimaging Resource Core (NRC; Core C) will provide support for Projects II and III of the University of Michigan Udall Center by performing the acquisition, processing, and parametric analysis and interpretation of all human subjects in vivo positron emission tomography (PET) and magnetic resonance imaging (MRI) data. The specific goals of the NRC are: 1) To perform [18F]FEOBV vesicular acetylcholine transporter and [11C]PE2I dopamine transporter PET on Parkinson disease (PD) subjects (N=60) and age- and gender-matched control (NC) subjects (N=15) at baseline and to repeat these assessments at two-year follow-up for the PD subjects. 2) To perform MRI, including T1- and T2-weighted, diffusion weighted (DWI), and resting state functional connectivity (rs-fMRI) sequences on PD subjects (N=60) and age- and gender-matched NC subjects (N=15) at baseline and to repeat these assessments at two-year follow-up for the PD subjects. 3) To perform parametric quantification of biochemical and physiological parameters from the PET data for subsequent statistical analysis in Projects II and III. 4) To perform parametric quantification of anatomical and functional parameters from the MRI data for subsequent statistical analysis in Projects II and III. 5) To perform advanced functional and anatomical network analyses using PET and MRI connectivity measures to provide metrics in support of the exploratory analyses of Projects II and III.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Specialized Center (P50)
Project #
2P50NS091856-06
Application #
9849378
Study Section
Special Emphasis Panel (ZNS1)
Project Start
Project End
Budget Start
2019-09-18
Budget End
2020-08-31
Support Year
6
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Type
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Tang, Ming; Gao, Chao; Goutman, Stephen A et al. (2018) Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics :
Nejad-Davarani, Siamak; Koeppe, Robert A; Albin, Roger L et al. (2018) Quantification of brain cholinergic denervation in dementia with Lewy bodies using PET imaging with [18F]-FEOBV. Mol Psychiatry :
Kotagal, Vikas; Albin, Roger L; Müller, Martijn L T M et al. (2018) Cardiovascular Risk Factor Burden in Veterans and Non-Veterans with Parkinson Disease. J Parkinsons Dis 8:153-160
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Bohnen, Nicolaas I; Albin, Roger L (2018) Hypercholinergic activity in LRRK2 Parkinson's disease. Lancet Neurol 17:290-291
Bohnen, Nicolaas I; Kanel, Prabesh; Müller, Martijn L T M (2018) Molecular Imaging of the Cholinergic System in Parkinson's Disease. Int Rev Neurobiol 141:211-250
Rektor, Ivan; Bohnen, Nicolaas I; Korczyn, Amos D et al. (2018) An updated diagnostic approach to subtype definition of vascular parkinsonism - Recommendations from an expert working group. Parkinsonism Relat Disord 49:9-16
Marino, Simeone; Xu, Jiachen; Zhao, Yi et al. (2018) Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies. PLoS One 13:e0202674
Albin, Roger L (2018) Tourette syndrome: a disorder of the social decision-making network. Brain 141:332-347
Rektor, Ivan; Bohnen, Nicolaas I; Korczyn, Amos D (2018) Subtype definition of vascular parkinsonism. Parkinsonism Relat Disord 52:107-108

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