Objectives: The Image Data Acquisition, Analysis, and Modeling Core will be responsible for (1) supporting the MRI experimental design and execution for all projects;(2) developing an objective MRIimmunohistochemistry validation method;(3) improving data acquisition efficiency;(4) streamlining postprocessing procedures;and (5) participating in data interpretation and dissemination of all MRI results. Core C will explore the possibility of using T2 relaxometry, myelin water imaging, to detect and quantify multiple pathologies in CNS white matter. Core Services: Core C is specifically designed to support all Projects of this program project grant, not a general purposed service core unit to the community. Outside studies relevant to the scope of this PPG will be considered after the approval of Executive Committee (Drs. Cross, Klein, Song and Trinkaus). It is the responsibility of Core C to perform all necessary tasks assuring the success of all MRI measurements. Decision-Making: During the planning of this renewal of this PPG, members of the executive committee have met and discussed regularly on specific tasks of Core C. Thus, the Core Co-directors Song and Kim will work closely with all Project and Core personnel to perform the proposed MRI studies and modify if necessary as projects progress. Any conflict in experimental execution will first be resolved between the involved Project/Core directors and Song/Kim team. Any unresolved conflict will be resolved through the PPG Executive Committee. The data interpretation and dissemination will be conducted by all involved Project/Core personnel, submitting to Executive Committee for final approval.
The Core C will support the improvement of our special imaging methods, such that they can eventually be used to monitor patients for patient management, as endpoints in clinical trials of new therapies, and to better understand diseases of the central nervous system (brain, spinal cord and optic nerves).
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|Adusumilli, Gautam; Trinkaus, Kathryn; Sun, Peng et al. (2018) Intensity ratio to improve black hole assessment in multiple sclerosis. Mult Scler Relat Disord 19:140-147|
|Spees, William M; Lin, Tsen-Hsuan; Sun, Peng et al. (2018) MRI-based assessment of function and dysfunction in myelinated axons. Proc Natl Acad Sci U S A 115:E10225-E10234|
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|Cross, Anne H; Song, Sheng-Kwei (2017) ""A new imaging modality to non-invasively assess multiple sclerosis pathology"". J Neuroimmunol 304:81-85|
|Klein, Robyn S; Hunter, Christopher A (2017) Protective and Pathological Immunity during Central Nervous System Infections. Immunity 46:891-909|
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|Salimi, Hamid; Cain, Matthew D; Klein, Robyn S (2016) Encephalitic Arboviruses: Emergence, Clinical Presentation, and Neuropathogenesis. Neurotherapeutics 13:514-34|
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