Evaluation Of Nirs Data Based On Theoretical Analysis Of Oxygen Transport to Cerebral Tissue

  • Kazunori Oyama
  • Toshihiro Kondo
  • Hidefumi Komatsu
  • Toshihiko Sugiura
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 645)


NIRS has been widely utilized for monitoring oxygen concentration of cerebral blood flow (CBF). However, meanings of signals measured by NIRS still have many unclear points. One of the factors is that the physiological mechanism of coupling between neuronal activity, metabolism and CBF is not clarified enough. In this study, we evaluate NIRS data based upon numerical simulation of oxygen transport to cerebral tissue. With a 2-dimensional mathematical model of oxygen transport from an arteriole to its surrounding tissue, we simulate the activity-dependent oxygenation changes. On the basis of calculated oxygen tension distribution, we derive quantities of two kinds of hemoglobin in the arteriole by using the oxygen dissociation curve, and theoretically decompose each hemoglobin change into its factors. This decomposition has revealed that NIRS data can reflect two types of physiological phenomena: a qualitative change caused by oxygen dissociation and a quantitative change caused by an increase of CBF. These results indicate that cellular oxygen consumption can be reflected more in the time courses of deoxygenated hemoglobin than those of oxygenated hemoglobin. It will be desirable to focus not only on oxygenated hemoglobin but also on deoxygenated hemoglobin when conducting evaluation of a brain function.


Cerebral Blood Flow Oxygen Transport Cerebral Tissue NIRS Data Vessel Radius 
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  1. 1.
    T. Kato, Principle and technique of NIRS-Imaging for human brain FORCE: fast-oxygen response in capillary event, International Congress Series, 1270, 85-90 (2004).CrossRefGoogle Scholar
  2. 2.
    Offenhauser N., Thomsen K., Caesar K. and Lauritzen M., Activity-induced tissue oxygenation changes in rat cerebellar cortex: interplay of postsynaptic activation and blood flow, J Physiol. 565(pt1), 279-94 (2005).PubMedCrossRefGoogle Scholar
  3. 3.
    T. Akiyama, T. Ohira, T. Kawase and T. Kato, TMS orientation for NIRS functional motor mapping, Brain Topogr., 19(1-2), 1-9 (2006).CrossRefGoogle Scholar
  4. 4.
    Hudetz A. G., Mathematical model of oxygen transport in the cerebral cortex, Brain Res. 817 (1-2), 75-83 (1999).CrossRefGoogle Scholar
  5. 5.
    Wang C. H. and Popel A. S., Effect of red blood cell shape on oxygen transport in capillaries, Math Biosci. 116 (1), 89-110 (1993).CrossRefGoogle Scholar
  6. 6.
    Tanishita K., Masamoto K., Negishi T., Takizawa N. and Kobayashi H., in Organ Microcirculation edited by Ishii H et al., (Springer, Tokyo, 2004), pp. 13-20.Google Scholar
  7. 7.
    Y. Zheng, J. Martindale, D. Johnston, M. Jones, J. Berwick and J. Mayhew, A model of the hemodynamic response and oxygen delivery to brain, NeuroImage 16, 617-637 (2002).PubMedCrossRefGoogle Scholar
  8. 8.
    T. Kondo, K. Oyama, H. Komatsu, and T. Sugiura, Numerical simulation of oxygen transport in cerebral tissue, Proceedings of ISOTT 2007 (to be submitted).Google Scholar
  9. 9.
    T. Yamamoto, and T. Kato, Paradoxical correlation between signal in functional magnetic resonance imaging and deoxygenated hemoglobin content in capillaries: a new theoretical explanation, Phys Med Biol. 47, 1121-1141 (2002).PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Kazunori Oyama
    • 1
  • Toshihiro Kondo
    • 1
  • Hidefumi Komatsu
    • 1
  • Toshihiko Sugiura
    • 1
  1. 1.Department of Mechanical EngineeringKeio UniversityKouhoku-kuJapan

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