Abstract

The proposed project represents the continuation of a long-standing collaboration that has enabled the development and testing of improved methods for assessing cardiovascular autonomic function across sleepwake states in polysomnographic studies. Having found in the current funding cycle that there is a significant association between autonomic dysfunction and impaired glucose metabolism, the overall goal of the proposed study is to determine whether specific noninvasive measures of autonomic function, coupled with information about current status of glucose metabolism, are capable of predicting the progression of metabolic dysfunction.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Biotechnology Resource Grants (P41)
Project #
5P41EB001978-31
Application #
8926424
Study Section
Special Emphasis Panel (ZEB1-OSR-C)
Project Start
Project End
2016-08-31
Budget Start
2015-09-01
Budget End
2016-08-31
Support Year
31
Fiscal Year
2015
Total Cost
$189,228
Indirect Cost
$74,544

  Institution

Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089

  Publications

Armoni Domany, Keren; Hossain, Md Monir; Nava-Guerra, Leonardo et al. (2018) Cardioventilatory Control in Preterm-born Children and the Risk of Obstructive Sleep Apnea. Am J Respir Crit Care Med 197:1596-1603
Sunwoo, John; Chalacheva, Patjanaporn; Khaleel, Maha et al. (2018) A novel cross-correlation methodology for assessing biophysical responses associated with pain. J Pain Res 11:2207-2219
Park, A Young J; Wang, Joshua; Jayne, Jordanna et al. (2018) Pharmacokinetics of Tedizolid in Plasma and Sputum of Adults with Cystic Fibrosis. Antimicrob Agents Chemother 62:
Dolton, Michael J; D'Argenio, David Z (2017) Population-based meta-analysis of roxithromycin pharmacokinetics: dosing implications of saturable absorption and protein binding. J Antimicrob Chemother 72:1129-1136
Henley, Brandon Christian; Shin, Dae C; Zhang, Rong et al. (2017) Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Nonlinear Analysis. IEEE Trans Biomed Eng 64:1078-1088
Lytton, William W; Arle, Jeff; Bobashev, Georgiy et al. (2017) Multiscale modeling in the clinic: diseases of the brain and nervous system. Brain Inform 4:219-230
Cole, Marc; Eikenberry, Steffen; Kato, Takahide et al. (2017) Nonparametric Model of Smooth Muscle Force Production During Electrical Stimulation. J Comput Biol 24:229-237
Marmarelis, Vasilis Z; Shin, Dae C; Tarumi, Takashi et al. (2017) Comparison of Model-Based Indices of Cerebral Autoregulation and Vasomotor Reactivity Using Transcranial Doppler versus Near-Infrared Spectroscopy in Patients with Amnestic Mild Cognitive Impairment. J Alzheimers Dis 56:89-105
Chalacheva, Patjanaporn; Khaleel, Maha; Sunwoo, John et al. (2017) Biophysical markers of the peripheral vasoconstriction response to pain in sickle cell disease. PLoS One 12:e0178353
Geng, Kunling; Marmarelis, Vasilis Z (2017) Methodology of Recurrent Laguerre-Volterra Network for Modeling Nonlinear Dynamic Systems. IEEE Trans Neural Netw Learn Syst 28:2196-2208

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