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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 2, Iss. 4 — Apr. 1, 2011
  • pp: 966–979

Effects of arterial blood gas levels on cerebral blood flow and oxygen transport

S. J. Payne, J. Mohammad, M. M. Tisdall, and I. Tachtsidis  »View Author Affiliations

Biomedical Optics Express, Vol. 2, Issue 4, pp. 966-979 (2011)

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Near Infra-Red Spectroscopy (NIRS) is a non-invasive technique which can be used to investigate cerebral haemodynamics and oxygenation with high temporal resolution. When combined with measures of Cerebral Blood Flow (CBF), it has the potential to provide information about oxygen delivery, utilization and metabolism. However, the interpretation of experimental results is complex. Measured NIRS signals reflect both scalp and cerebral haemodynamics and are influenced by many factors. The relationship between Arterial Blood Pressure (ABP) and CBF has been widely investigated and it central to cerebral autoregulation. Changes in arterial blood gas levels have a significant effect on ABP and CBF and these relationships have been quantified previously. The relationship between ABP and NIRS signals, however, has not been fully characterized. In this paper, we thus investigate the influence of changes in arterial blood gas levels both experimentally and theoretically, using an extended mathematical model of cerebral blood flow and metabolism, in terms of the phase angle at 0.1 Hz. The autoregulation response is found to be strongly dependent upon the carbon dioxide (CO2) partial pressure but much less so upon changes in arterial oxygen saturation (SaO2). The results for phase angle sensitivity to CO2 show good agreement between experimental and theory, but a poorer agreement is found for the sensitivity to SaO2.

© 2011 OSA

OCIS Codes
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.5380) Medical optics and biotechnology : Physiology

ToC Category:
Neuroscience and Brain Imaging

Original Manuscript: December 20, 2010
Revised Manuscript: February 25, 2011
Manuscript Accepted: March 7, 2011
Published: March 25, 2011

S. J. Payne, J. Mohammad, M. M. Tisdall, and I. Tachtsidis, "Effects of arterial blood gas levels on cerebral blood flow and oxygen transport," Biomed. Opt. Express 2, 966-979 (2011)

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  1. M. Wolf, M. Ferrari, and V. Quaresima, “Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications,” J. Biomed. Opt. 12(6), 062104 (2007). [CrossRef] [PubMed]
  2. P. G. Al-Rawi, P. Smielewski, and P. J. Kirkpatrick, “Evaluation of a near-infrared spectrometer (NIRO 300) for the detection of intracranial oxygenation changes in the adult head,” Stroke 32(11), 2492–2500 (2001). [CrossRef] [PubMed]
  3. R. B. Panerai, D. M. Simpson, S. T. Deverson, P. Mahony, P. Hayes, and D. H. Evans, “Multivariate dynamic analysis of cerebral blood flow regulation in humans,” IEEE Trans. Biomed. Eng. 47(3), 419–423 (2000). [CrossRef] [PubMed]
  4. T. Peng, A. B. Rowley, P. N. Ainslie, M. J. Poulin, and S. J. Payne, “Multivariate system identification for cerebral autoregulation,” Ann. Biomed. Eng. 36(2), 308–320 (2008). [CrossRef] [PubMed]
  5. T. Peng, A. B. Rowley, P. N. Ainslie, M. J. Poulin, and S. J. Payne, “Wavelet phase synchronization analysis of cerebral blood flow autoregulation,” IEEE Trans. Biomed. Eng. 57(4), 960–968 (2010). [CrossRef] [PubMed]
  6. S. J. Payne, J. Selb, and D. A. Boas, “Effects of autoregulation and CO2 reactivity on cerebral oxygen transport,” Ann. Biomed. Eng. 37(11), 2288–2298 (2009). [CrossRef] [PubMed]
  7. S. J. Payne, “A model of the interaction between autoregulation and neural activation in the brain,” Math. Biosci. 204(2), 260–281 (2006). [CrossRef] [PubMed]
  8. S. J. Payne and L. Tarassenko, “Combined transfer function analysis and modelling of cerebral autoregulation,” Ann. Biomed. Eng. 34(5), 847–858 (2006). [CrossRef] [PubMed]
  9. I. Tachtsidis, M. M. Tisdall, T. S. Leung, C. Pritchard, C. E. Cooper, M. Smith, and C. E. Elwell, “Relationship between brain tissue haemodynamics, oxygenation and metabolism in the healthy human adult brain during hyperoxia and hypercapnea,” Adv. Exp. Med. Biol. 645, 315–320 (2009). [CrossRef] [PubMed]
  10. M. M. Tisdall, I. Tachtsidis, T. S. Leung, C. E. Elwell, and M. Smith, “Near-infrared spectroscopic quantification of changes in the concentration of oxidized cytochrome c oxidase in the healthy human brain during hypoxemia,” J. Biomed. Opt. 12(2), 024002 (2007). [CrossRef] [PubMed]
  11. M. M. Tisdall, I. Tachtsidis, T. S. Leung, C. E. Elwell, and M. Smith, “Changes in the attenuation of near infrared spectra by the healthy adult brain during hypoxaemia cannot be accounted for solely by changes in the concentrations of oxy- and deoxy-haemoglobin,” Adv. Exp. Med. Biol. 614, 217–225 (2008). [CrossRef] [PubMed]
  12. M. M. Tisdall, C. Taylor, I. Tachtsidis, T. S. Leung, C. E. Elwell, and M. Smith, “The effect on cerebral tissue oxygenation index of changes in the concentrations of inspired oxygen and end-tidal carbon dioxide in healthy adult volunteers,” Anesth. Analg. 109(3), 906–913 (2009). [CrossRef] [PubMed]
  13. F. Y. Wong, T. S. Leung, T. Austin, M. Wilkinson, J. H. Meek, J. S. Wyatt, and A. M. Walker, “Impaired autoregulation in preterm infants identified by using spatially resolved spectroscopy,” Pediatrics 121(3), 604–611 (2008). [CrossRef] [PubMed]
  14. J. S. Soul, G. A. Taylor, D. Wypij, A. J. Duplessis, and J. J. Volpe, “Noninvasive detection of changes in cerebral blood flow by near-infrared spectroscopy in a piglet model of hydrocephalus,” Pediatr. Res. 48(4), 445–449 (2000). [CrossRef] [PubMed]
  15. A. B. Rowley, S. J. Payne, I. Tachtsidis, M. J. Ebden, J. P. Whiteley, D. J. Gavaghan, L. Tarassenko, M. Smith, C. E. Elwell, and D. T. Delpy, “Synchronization between arterial blood pressure and cerebral oxyhaemoglobin concentration investigated by wavelet cross-correlation,” Physiol. Meas. 28(2), 161–173 (2007). [CrossRef] [PubMed]
  16. I. Tachtsidis, C. E. Elwell, T. S. Leung, C. W. Lee, M. Smith, and D. T. Delpy, “Investigation of cerebral haemodynamics by near-infrared spectroscopy in young healthy volunteers reveals posture-dependent spontaneous oscillations,” Physiol. Meas. 25(2), 437–445 (2004). [CrossRef] [PubMed]
  17. H. Nilsson and C. Aalkjaer, “Vasomotion: mechanisms and physiological importance,” Mol. Interv. 3(2), 79–89, 51 (2003). [CrossRef] [PubMed]
  18. M. Reinhard, E. Wehrle-Wieland, D. Grabiak, M. Roth, B. Guschlbauer, J. Timmer, C. Weiller, and A. Hetzel, “Oscillatory cerebral hemodynamics--the macro- vs. microvascular level,” J. Neurol. Sci. 250(1-2), 103–109 (2006). [CrossRef] [PubMed]
  19. M. Reivich, “Arterial PCO2 and cerebral hemodynamics,” Am. J. Physiol. 206, 25–35 (1964). [PubMed]
  20. A. W. Subudhi, R. B. Panerai, and R. C. Roach, “Acute hypoxia impairs dynamic cerebral autoregulation: results from two independent techniques,” J. Appl. Physiol. 107(4), 1165–1171 (2009). [CrossRef] [PubMed]
  21. N. E. Dineen, F. G. Brodie, T. G. Robinson, and R. B. Panerai, “Continuous estimates of dynamic cerebral autoregulation during transient hypocapnia and hypercapnia,” J. Appl. Physiol. 108(3), 604–613 (2010). [CrossRef] [PubMed]
  22. B. K. Siesjö, “Cerebral metabolic rate in hypercarbia--a controversy,” Anesthesiology 52(6), 461–465 (1980). [CrossRef] [PubMed]
  23. F. Xu, J. Uh, M. R. Brier, J. Hart, U. S. Yezhuvath, H. Gu, Y. Yang, and H. Lu, “The influence of carbon dioxide on brain activity and metabolism in conscious humans,” J. Cereb. Blood Flow Metab. 31(1), 58–67 (2011). [CrossRef] [PubMed]

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