SPECIFIC AIMS The overall goal of this project is to develop a better understanding and improved quantitative characterization of the complex dynamics that result from abnormal regulation of the respiratory, cardiovascular and metabolic control systems in important chronic diseases or clinical syndromes, such as hypertension. Type 2 diabetes, sickle cell disease, metabolic syndrome, and sleep disordered breathing (SDB). These problems will be addressed by employing a combination of structured ("parametric") modeling and minimal ("non-parametric") modeling approaches that we have successfully applied in previous cycles of this grant. The proposed project will build on the work that has been accomplished in the current funding cycle, addressing several important issues that remain unresolved and extending our modeiing efforts to more clinical applications. There are three major emphases in our proposed studies. The first pertains to developing models that can characterize the dynamics of the interactions among the participating physiological control systems (eg. respiratory, cardiovascular, metabolic and renal) as they are altered with time because of disease progression or therapy. The second lends recognition to the fact that the vast majority of computational models of human physiology (and pathophysiology) have been designed with the adult forms of the disorder or disease under study;in the next cycle, we will devote significant effort to developing models that pertain more specifically to the pediatric manifestations of these multi-factor disorders. A third focus is translate the computational methods and models that we have developed in this core project into clinical applications (biophysical markers) that can be used for early disease detection, noninvasive assessment of disease severity, and therapeutic decision- making.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Biotechnology Resource Grants (P41)
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Special Emphasis Panel (ZEB1-OSR-C (M2))
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University of Southern California
Los Angeles
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Wu, Ziyue; Kim, Yoon-Chul; Khoo, Michael C K et al. (2014) Evaluation of an independent linear model for acoustic noise on a conventional MRI scanner and implications for acoustic noise reduction. Magn Reson Med 71:1613-20
Zhang, Yaping; Hsu, Cheng-Pang; Lu, Jian-Feng et al. (2014) FLT3 and CDK4/6 inhibitors: signaling mechanisms and tumor burden in subcutaneous and orthotopic mouse models of acute myeloid leukemia. J Pharmacokinet Pharmacodyn 41:675-91
Marmarelis, Vasilis Z; Shin, Dae C; Orme, Melissa et al. (2014) Time-varying modeling of cerebral hemodynamics. IEEE Trans Biomed Eng 61:694-704
Hajjar, Ihab; Marmerelis, Vasilis; Shin, Dae C et al. (2014) Assessment of cerebrovascular reactivity during resting state breathing and its correlation with cognitive function in hypertension. Cerebrovasc Dis 38:10-6
Kim, Yoon-Chul; Lebel, R Marc; Wu, Ziyue et al. (2014) Real-time 3D magnetic resonance imaging of the pharyngeal airway in sleep apnea. Magn Reson Med 71:1501-10
Song, Dong; Harway, Madhuri; Marmarelis, Vasilis Z et al. (2014) Extraction and restoration of hippocampal spatial memories with non-linear dynamical modeling. Front Syst Neurosci 8:97
Marmarelis, V Z; Shin, D C; Song, D et al. (2014) On parsing the neural code in the prefrontal cortex of primates using principal dynamic modes. J Comput Neurosci 36:321-37
Marmarelis, V Z; Shin, D C; Orme, M E et al. (2014) Model-based physiomarkers of cerebral hemodynamics in patients with mild cognitive impairment. Med Eng Phys 36:628-37
Zhou, Alyssa; Pacini, Giovanni; Ahren, Bo et al. (2014) Glucagon clearance is regulated by nutritional state: evidence from experimental studies in mice. Diabetologia 57:801-8
Meel-van den Abeelen, Aisha S S; Simpson, David M; Wang, Lotte J Y et al. (2014) Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure-flow relation: the CARNet study. Med Eng Phys 36:620-7

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