Browse > Article
http://dx.doi.org/10.9718/JBER.2014.35.4.95

Evaluation of Baroreflex Effectiveness in Normal Subject and Obstructive Sleep Apnea Patient during Sleep using Granger Causality Analysis  

Jung, Da Woon (Interdisciplinary Program for Biomedical Engineering, Seoul National University Graduate School)
Kim, Sang Kyong (Interdisciplinary Program for Biomedical Engineering, Seoul National University Graduate School)
Kim, Ko Keun (Center for Cognition and Sociality, Institute for Basic Science)
Lee, Yu-Jin (Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine)
Jeong, Do-Un (Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine)
Park, Kwang Suk (Department of Biomedical Engineering, Seoul National University College of Medicine)
Publication Information
Journal of Biomedical Engineering Research / v.35, no.4, 2014 , pp. 95-98 More about this Journal
Abstract
The baroreflex is one kind of homeostatic mechanisms to regulate acute blood pressure (BP) changes by controlling heartbeat interval (HBI). To quantify the effect of baroreflex, we suggested a new approach of analyzing Granger causality between systolic BP (SBP) and HBI. The index defined as baroreflex effectiveness (BRE) was generated by the hypothesis that more effectual baroreflex would be related to more effective Granger causal influence of SBP on HBI. Six obstructive sleep apnea (OSA) patients (apnea-hypopnea index, AHI ${\geq}5$ events/hr) and six normal subjects participated in the study. Their SBP and HBI during nocturnal sleep were obtained from a non-invasive continuous BP measurement device. While the BRE ($mean{\pm}SD$) of normal subjects was $47.0{\pm}4.0%$, OSA patients exhibited the BRE of $34.0{\pm}3.8%$. The impaired baroreflex function of OSA patients can be explained by the physiological mechanism associated with recurrent hypoxic episodes during sleep. Thus, the significantly lower BRE in OSA patients verified the availability of Granger causality analysis to evaluate baroreflex during sleep. Furthermore, the range of BRE obtained from normal subjects was not overlapped with that obtained from OSA patients. It suggests the potential of BRE as a new helpful tool for diagnosing OSA.
Keywords
Baroreflex; Obstructive sleep apnea; Granger causality;
Citations & Related Records
연도 인용수 순위
  • Reference
1 K. Narkiewicz, C. A. Pesek, M. Kato, B. G. Phillips, D. E. Davison, and V. K. Somers, "Baroreflex control of sympathetic nerve activity and heart rate in obstructive sleep apnea," Hypertension, vol. 32, no. 6, pp. 1039-1043, 1998.   DOI
2 V. Cooper, C. Bowker, S. Pearson, M. Elliott, and R. Hainsworth, "Effects of simulated obstructive sleep apnoea on the human carotid baroreceptor-vascular resistance reflex," J. Physiol., vol. 557, no. 3, pp. 1055-1065, 2004.   DOI
3 L. F. Drager, V. Y. Polotsky, and G. Lorenzi-Filho, "Obstructive sleep apnea and atherosclerosis: an emerging risk factor for atherosclerosis," Chest, vol. 140, no. 2, pp. 534-542, 2011.   DOI
4 Y. Ouchi, E. Ohga, T. Tomita, H. Wada, H. Yamamoto, and T. Nagase, "Effects of obstructive sleep apnea on circulating," Br. J. Ophthalmol., vol. 97, no. 2, pp. 206-209, 2013.   DOI
5 G. Parati, M. Di Rienzo, M. R. Bonsignore, G. Insalaco, O. Marrone, P. Castiglioni, G. Bonsignore, and G. Mancia, "Autonomic cardiac regulation in obstructive sleep apnea syndrome: evidence from spontaneous baroreflex analysis during sleep," J. Hypertens., vol. 15, no. 12, pp. 1621-1626, 1997.   DOI   ScienceOn
6 J. T. Carlson, J. A. Hedner, J. Sellgren, M. Elam, and B. G. Wallin, "Depressed baroreflex sensitivity in patients with obstructive sleep apnea," Am. J. Respir. Crit. Care Med., vol. 154, no. 5, pp. 1490-1496, 1996.   DOI
7 C. Iber, The AASM manual for the scoring of sleep and associated events: rules, terminology and technical specifications: American Academy of Sleep Medicine, 2007.
8 C. W. Granger, "Investigating causal relations by econometric models and cross-spectral methods," Econometrica, vol. 37, no. 3, pp. 424-438, 1969.   DOI   ScienceOn
9 A. K. Seth, "A MATLAB toolbox for Granger causal connectivity analysis," J. Neurosci. Meth., vol. 186, no. 2, pp. 262-273, 2010.   DOI