Depth Resolution in Coherent Hemodynamics Spectroscopy

Angelo Sassaroli, Xuan Zang, Kristen Tgavalekos, Sergio Fantini

2016

Abstract

Coherent hemodynamics spectroscopy (CHS) is a novel method based on the frequency-resolved study of induced hemodynamic oscillations in living tissues. Approaches to induce hemodynamic oscillations in human subjects include paced breathing and cyclic thigh cuff inflation. Such induced hemodynamic oscillations result in coherent oscillations of oxy-, deoxy-, and total hemoglobin concentrations in tissue, which can be measured with near-infrared spectroscopy (NIRS). The novel aspect of CHS is to induce hemodynamic oscillations at multiple frequencies in order to obtain frequency-resolved spectra of coherent hemodynamics. A dedicated mathematical model recently developed by our group, can translate the phase and amplitude spectra of these hemodynamic oscillations into physiological parameters such as capillary and venous transit times, and the autoregulation cutoff frequency. A typical method used in near-infrared tissue spectroscopy to measure oscillations of hemoglobin concentrations is based on the modified Beer-Lambert law, which does not allow for the discrimination of hemodynamic oscillations occurring in the scalp from those occurring in the brain cortex. In this work, we show preliminary results obtained by using diffusion theory for a two-layered medium, so that the hemodynamic oscillations obtained for the first and second layer are assigned to hemodynamic oscillations occurring in the scalp/skull and brain cortex tissues, respectively.

References

  1. Boas, D. A., Jones, S. R., Devor, A., Huppert, T. J., Dale, A. M., 2008. A vascular anatomical network model of the spatio-temporal response to brain activation. Neuroimage 40, 1116-1129.
  2. Boashash, B., 1992. Estimating and interpreting the instantaneous frequency of a signal. Part 1: Fundamentals. Proceedings of IEEE 80, 520-538.
  3. Buxton, R. B., Frank, L. R., 1997. A model of the coupling between cerebral blood flow and oxygen metabolism during neural stimulation. Journal of cerebral blood flow & metabolism 17, 64-72.
  4. Choi, J., Wolf, M., Toronov, V., Wolf, U., Polzonetti, C., Hueber, D., Safonova, L. P., Gupta, R., Michalos, R., Mantulin, W., Gratton, E., 2004. Noninvasive determination of the optical properties of adult brain: near-infrared spectroscopy approach. Journal of Biomedical Optics 9: 221-229.
  5. Diamond, S. G., Perdue, K. L., Boas, D. A., 2009. A cerebrovascular response model for functional neuroimaging including cerebral autoregulation. Mathematical Biosciences 220, 102-117.
  6. Fantini, S., Franceschini-Fantini, M. A., Maier, J.S., Walker, S.A., Barbieri, B., Gratton, E., 1995. Frequency-domain multichannel optical detector for noninvasive tissue spectroscopy and oximetry. Optical Engineering 34, 32-42.
  7. Fantini, S., 2014a. Dynamic model for the tissue concentration and oxygen saturation of hemoglobin in relation to blood volume, flow velocity, and oxygen consumption: Implications for functional neuroimaging and coherent hemodynamics spectroscopy (CHS). Neuroimage 85, 202-221.
  8. Fantini, S., 2014b. A new hemodynamic model shows that temporal perturbations of cerebral blood flow and metabolic rate of oxygen cannot be measured individually using functional near-infrared spectroscopy. Physiological Measurements 35, N1- N9.
  9. Gagnon, L., Gauthier, C., Hoge, R. D., Lesage, F., Selb, J., Boas, D.A., 2008. Double-layer estimation of intraand extracerebral hemoglobin concentration with a time-resolved system. Journal of Biomedical Optics 13: 054019.
  10. Hallacoglu, B., Sassaroli, A., Fantini, S., 2013. Optical characterization of two-layered turbid media for noninvasive, absolute oximetry in cerebral and extracerebral tissue,” PLoS ONE 8, e64095.
  11. Huppert, T. J., Allen, M.S., Benav, H., Jones, P. B., Boas, D. A., 2007. A multicompartment vascular model for inferring baseline and functional changes in cerebral oxygen metabolism and arterial dilation. Journal of cerebral blood flow & metabolism 27, 1262-1279.
  12. Kainerstorfer, J. M., Sassaroli, A., Tgavalekos, K. T., Fantini, S., 2015. Cerebral autoregulation in the microvasculature measured with near-infrared spectroscopy. Journal of Cerebral Blood Flow & Metabolism 35, 959-966.
  13. Liemert, A., Kienle, A., 2010. Light diffusion in a turbid cylinder. II. Layered case. Optics Express 18, 9266- 9279.
  14. Mandeville, J. B., Marota, J. J., Ayata, C., Zaharchuk, G., Moskowitz, M. A., Rosen, B. R., Weisskoff, R. M., 1999. Evidence of cerebrovascular postarteriole windkessel with delayed compliance. Journal of Cerebral Blood Flow & Metabolism 19, 679-689.
  15. Pierro, M., Sassaroli, A., Bergethon, P. R., Ehrenberg, B. L., Fantini, S., 2012. Phase-amplitude investigation of spontaneous low-frequency oscillations of cerebral hemodynamics with near-infrared spectroscopy: A sleep study in human subjects. Neuroimage, 63, 1571- 1584.
  16. Pierro, M. L., Hallacoglu, B., Sassaroli, A., Kainerstorfer, J.M., Fantini, S., 2014a. Validation of a novel hemodynamic model for coherent hemodynamics spectroscopy (CHS) and functional brain studies with fNIRS and fMRI. Neuroimage 85, 222-233.
  17. Pierro, M. L., Kainerstorfer, J. M., Civiletto, A., Wiener, D. E., Sassaroli, A., Hallacoglu, B., Fantini, S., 2014b. Reduced speed of microvascular blood flow in hemodialysis patients versus healthy controls: a coherent hemodynamics spectroscopy study. Journal of Biomedical Optics 19, 026005 1-9.
  18. Sassaroli, A., Fantini, S., 2004. Comment on the modified Beer-Lambert law for scattering media. Physics in Medicine and Biology 49 N1-N3.
  19. Villringer, A., 2012. The intravascular susceptibility effect and the underlying physiology of fMRI. Neuroimage 62, 995-999. PMID: 22305989.
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Paper Citation


in Harvard Style

Sassaroli A., Zang X., Tgavalekos K. and Fantini S. (2016). Depth Resolution in Coherent Hemodynamics Spectroscopy . In Proceedings of the 4th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS, ISBN 978-989-758-174-8, pages 185-191. DOI: 10.5220/0005792101850191


in Bibtex Style

@conference{photoptics16,
author={Angelo Sassaroli and Xuan Zang and Kristen Tgavalekos and Sergio Fantini},
title={Depth Resolution in Coherent Hemodynamics Spectroscopy},
booktitle={Proceedings of the 4th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,},
year={2016},
pages={185-191},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005792101850191},
isbn={978-989-758-174-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,
TI - Depth Resolution in Coherent Hemodynamics Spectroscopy
SN - 978-989-758-174-8
AU - Sassaroli A.
AU - Zang X.
AU - Tgavalekos K.
AU - Fantini S.
PY - 2016
SP - 185
EP - 191
DO - 10.5220/0005792101850191