Abstract

We extended the work described in last year's progress report by attempting to find improved predictors of arousal from an array of variables derived from non-EEG-related measurements. We examined various other respiratory-based measures for correlation to arousal. The following were calculated on an epoch-to-epoch basis and compared to the visually-scored arousal index: (1) the average value of the fuzzy-based severity index, SI; (2) the standard deviation of SI; (3) average inspired tidal volume; (4) standard deviation of tidal volume; (5) the maximum breath-to-breath change in inspiratory peak flow; and (6) the ratio of the maximum tidal volume over the minimum tidal volume. These variables were computed from our database of 13 patients with sleep-disordered breathing. The respiratory-based variable with the highest sensitivity of predicting arousal (75%) was the standard deviation of SI. The respiratory-based variable with the highest specificity in predicting arousal was the standard deviation of tidal volume (81%). However, the sensitivity associated with this variable was only 68%. Thus, the respiratory-related measure with best overall scores in both sensitivity and specificity was the standard deviation of SI.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001861-17
Application #
6480881
Study Section
Project Start
2001-09-01
Project End
2002-08-31
Budget Start
1997-10-01
Budget End
1998-09-30
Support Year
17
Fiscal Year
2001
Total Cost
$155,764
Indirect Cost

  Institution

Name
University of Southern California
Department
Type
DUNS #
041544081
City
Los Angeles
State
CA
Country
United States
Zip Code
90089

  Publications

Song, Dong; Wang, Haonan; Tu, Catherine Y et al. (2013) Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions. J Comput Neurosci 35:335-57
Hoppenbrouwers, Toke; Oliveira, Flavia; Sandarupa, Stanislaus et al. (2012) The development of the circadian heart rate rhythm (CHR) in Asian infants. Early Hum Dev 88:555-61
Wang, Xiaoning; Schumitzky, Alan; D'Argenio, David Z (2007) Nonlinear Random Effects Mixture Models: Maximum Likelihood Estimation via the EM Algorithm. Comput Stat Data Anal 51:6614-6623
Gholmieh, Ghassan; Courellis, Spiros; Marmarelis, Vasilis et al. (2007) Nonlinear dynamic model of CA1 short-term plasticity using random impulse train stimulation. Ann Biomed Eng 35:847-57
Gholmieh, Ghassan; Courellis, Spiros; Dimoka, Angelika et al. (2004) An algorithm for real-time extraction of population EPSP and population spike amplitudes from hippocampal field potential recordings. J Neurosci Methods 136:111-21
Ashjian, Peter; Elbarbary, Amir; Zuk, Patricia et al. (2004) Noninvasive in situ evaluation of osteogenic differentiation by time-resolved laser-induced fluorescence spectroscopy. Tissue Eng 10:411-20
Blasi, Anna; Jo, Javier; Valladares, Edwin et al. (2003) Cardiovascular variability after arousal from sleep: time-varying spectral analysis. J Appl Physiol 95:1394-404
Jo, Javier A; Blasi, Anna; Valladares, Edwin et al. (2003) Model-based assessment of autonomic control in obstructive sleep apnea syndrome during sleep. Am J Respir Crit Care Med 167:128-36
Belozeroff, Vasily; Berry, Richard B; Khoo, Michael C K (2003) Model-based assessment of autonomic control in obstructive sleep apnea syndrome. Sleep 26:65-73
Bading, James R; Yoo, Paul B; Fissekis, John D et al. (2003) Kinetic modeling of 5-fluorouracil anabolism in colorectal adenocarcinoma: a positron emission tomography study in rats. Cancer Res 63:3667-74

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