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Journal of Clinical Monitoring and Computing

, Volume 30, Issue 2, pp 243–250 | Cite as

Near-infrared spectroscopy determined cerebral oxygenation with eliminated skin blood flow in young males

  • Ai Hirasawa
  • Takahito Kaneko
  • Naoki Tanaka
  • Tsukasa Funane
  • Masashi Kiguchi
  • Henrik Sørensen
  • Niels H. Secher
  • Shigehiko OgohEmail author
Original Research

Abstract

We estimated cerebral oxygenation during handgrip exercise and a cognitive task using an algorithm that eliminates the influence of skin blood flow (SkBF) on the near-infrared spectroscopy (NIRS) signal. The algorithm involves a subtraction method to develop a correction factor for each subject. For twelve male volunteers (age 21 ± 1 yrs) +80 mmHg pressure was applied over the left temporal artery for 30 s by a custom-made headband cuff to calculate an individual correction factor. From the NIRS-determined ipsilateral cerebral oxyhemoglobin concentration (O2Hb) at two source-detector distances (15 and 30 mm) with the algorithm using the individual correction factor, we expressed cerebral oxygenation without influence from scalp and scull blood flow. Validity of the estimated cerebral oxygenation was verified during cerebral neural activation (handgrip exercise and cognitive task). With the use of both source-detector distances, handgrip exercise and a cognitive task increased O2Hb (P < 0.01) but O2Hb was reduced when SkBF became eliminated by pressure on the temporal artery for 5 s. However, when the estimation of cerebral oxygenation was based on the algorithm developed when pressure was applied to the temporal artery, estimated O2Hb was not affected by elimination of SkBF during handgrip exercise (P = 0.666) or the cognitive task (P = 0.105). These findings suggest that the algorithm with the individual correction factor allows for evaluation of changes in an accurate cerebral oxygenation without influence of extracranial blood flow by NIRS applied to the forehead.

Keywords

Headband inflation Extracranial blood flow Oxyhemoglobin Temporal artery 

Notes

Acknowledgments

The time and effort expended by all the volunteer subjects are greatly appreciated. This present study was supported in part by Grant-in-Aid for Scientific-Research (B) 24300237, Grant-in-Aid for Exploratory Research 25560299 (to S. Ogoh) and Enryo Inoue memory research Grant by Toyo University (to A. Hirasawa).

Conflict of interest

The authors have no conflicts of interest to disclose.

References

  1. 1.
    Herrmann MJ, Walter A, Ehlis AC, Fallgatter AJ. Cerebral oxygenation changes in the prefrontal cortex: effects of age and gender. Neurobiol Aging. 2006;27(6):888–94.CrossRefPubMedGoogle Scholar
  2. 2.
    Kameyama M, Fukuda M, Uehara T, Mikuni M. Sex and age dependencies of cerebral blood volume changes during cognitive activation: a multichannel near-infrared spectroscopy study. NeuroImage. 2004;22(4):1715–21.CrossRefPubMedGoogle Scholar
  3. 3.
    Bhambhani Y, Malik R, Mookerjee S. Cerebral oxygenation declines at exercise intensities above the respiratory compensation threshold. Respir Physiol Neurobiol. 2007;156(2):196–202.CrossRefPubMedGoogle Scholar
  4. 4.
    Ide K, Horn A, Secher NH. Cerebral metabolic response to submaximal exercise. J Appl Physiol. 1999;87(5):1604–8.PubMedGoogle Scholar
  5. 5.
    Lucas SJ, Ainslie PN, Murrell CJ, Thomas KN, Franz EA, Cotter JD. Effect of age on exercise-induced alterations in cognitive executive function: relationship to cerebral perfusion. Exp Gerontol. 2012;47(8):541–51.CrossRefPubMedGoogle Scholar
  6. 6.
    Marshall HC, Hamlin MJ, Hellemans J, Murrell C, Beattie N, Hellemans I, Perry T, Burns A, Ainslie PN. Effects of intermittent hypoxia on SaO(2), cerebral and muscle oxygenation during maximal exercise in athletes with exercise-induced hypoxemia. Eur J Appl Physiol. 2008;104(2):383–93.CrossRefPubMedGoogle Scholar
  7. 7.
    Peltonen JE, Paterson DH, Shoemaker JK, Delorey DS, Dumanoir GR, Petrella RJ, Kowalchuk JM. Cerebral and muscle deoxygenation, hypoxic ventilatory chemosensitivity and cerebrovascular responsiveness during incremental exercise. Respir Physiol Neurobiol. 2009;169(1):24–35.CrossRefPubMedGoogle Scholar
  8. 8.
    Subudhi AW, Miramon BR, Granger ME, Roach RC. Frontal and motor cortex oxygenation during maximal exercise in normoxia and hypoxia. J Appl Physiol. 2009;106(4):1153–8.CrossRefPubMedPubMedCentralGoogle Scholar
  9. 9.
    Murkin JM, Adams SJ, Novick RJ, Quantz M, Bainbridge D, Iglesias I, Cleland A, Schaefer B, Irwin B, Fox S. Monitoring brain oxygen saturation during coronary bypass surgery: a randomized, prospective study. Anesth Analg. 2007;104(1):51–8.CrossRefPubMedGoogle Scholar
  10. 10.
    Slater JP, Guarino T, Stack J, Vinod K, Bustami RT, Brown JM 3rd, Rodriguez AL, Magovern CJ, Zaubler T, Freundlich K, Parr GV. Cerebral oxygen desaturation predicts cognitive decline and longer hospital stay after cardiac surgery. Ann Thorac Surg. 2009; 87(1):36–44 (discussion 44–35).Google Scholar
  11. 11.
    Scheeren TW, Schober P, Schwarte LA. Monitoring tissue oxygenation by near infrared spectroscopy (NIRS): background and current applications. J Clin Monit Comput. 2012;26(4):279–87.CrossRefPubMedPubMedCentralGoogle Scholar
  12. 12.
    Denault A, Deschamps A, Murkin JM. A proposed algorithm for the intraoperative use of cerebral near-infrared spectroscopy. Semin Cardiothorac Vasc Anesth. 2007;11(4):274–81.PubMedGoogle Scholar
  13. 13.
    Jöbsis FF. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science. 1977;198(4323):1264–7.CrossRefPubMedGoogle Scholar
  14. 14.
    Davie SN, Grocott HP. Impact of extracranial contamination on regional cerebral oxygen saturation: a comparison of three cerebral oximetry technologies. Anesthesiology. 2012;116(4):834–40.CrossRefPubMedGoogle Scholar
  15. 15.
    Sørensen H, Secher NH, Siebenmann C, Nielsen HB, Kohl-Bareis M, Lundby C, Rasmussen P. Cutaneous vasoconstriction affects near-infrared spectroscopy determined cerebral oxygen saturation during administration of norepinephrine. Anesthesiology. 2012;117(2):263–70.CrossRefPubMedGoogle Scholar
  16. 16.
    Ogoh S, Sato K, Fisher JP, Seifert T, Overgaard M, Secher NH. The effect of phenylephrine on arterial and venous cerebral blood flow in healthy subjects. Clin Physiol Funct Imaging. 2011;31(6):445–51.CrossRefPubMedGoogle Scholar
  17. 17.
    Ogoh S, Sato K, Okazaki K, Miyamoto T, Secher F, Sørensen H, Rasmussen P, Secher NH. A decrease in spatially resolved near-infrared spectroscopy-determined frontal lobe tissue oxygenation by phenylephrine reflects reduced skin blood flow. Anesth Analg. 2014;118(4):823–9.CrossRefPubMedGoogle Scholar
  18. 18.
    Saager RB, Berger AJ. Direct characterization and removal of interfering absorption trends in two-layer turbid media. J Opt Soc Am A Opt Image Sci Vis. 2005;22(9):1874–82.CrossRefPubMedGoogle Scholar
  19. 19.
    Saager RB, Telleri NL, Berger AJ. Two-detector Corrected Near Infrared Spectroscopy (C-NIRS) detects hemodynamic activation responses more robustly than single-detector NIRS. NeuroImage. 2011;55(4):1679–85.CrossRefPubMedGoogle Scholar
  20. 20.
    Gagnon L, Perdue K, Greve DN, Goldenholz D, Kaskhedikar G, Boas DA. Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling. NeuroImage. 2011;56(3):1362–71.CrossRefPubMedPubMedCentralGoogle Scholar
  21. 21.
    Luu S, Chau T. Decoding subjective preference from single-trial near-infrared spectroscopy signals. J Neural Eng. 2009;6(1):016003.CrossRefPubMedGoogle Scholar
  22. 22.
    Toronov V, Webb A, Choi JH, Wolf M, Safonova L, Wolf U, Gratton E. Study of local cerebral hemodynamics by frequency-domain near-infrared spectroscopy and correlation with simultaneously acquired functional magnetic resonance imaging. Opt Express. 2001;9(8):417–27.CrossRefPubMedGoogle Scholar
  23. 23.
    Hirasawa A, Yanagisawa S, Tanaka N, Funane T, Kiguchi M, Sørensen H, Secher NH, Ogoh S. Influence of skin blood flow and source-detector distance on near-infrared spectroscopy-determined cerebral oxygenation in humans. Clin Physiol Funct Imaging. 2014;35(3):237–44.Google Scholar
  24. 24.
    Germon TJ, Evans PD, Barnett NJ, Wall P, Manara AR, Nelson RJ. Cerebral near infrared spectroscopy: emitter-detector separation must be increased. Br J Anaesth. 1999;82(6):831–7.CrossRefPubMedGoogle Scholar
  25. 25.
    Sørensen H, Rasmussen P, Sato K, Persson S, Olesen ND, Nielsen HB, Olsen NV, Ogoh S, Secher NH. External carotid artery flow maintains near infrared spectroscopy-determined frontal lobe oxygenation during ephedrine administration. Br J Anaesth. 2014;113(3):452–8.Google Scholar
  26. 26.
    Virtanen J, Noponen T, Merilainen P. Comparison of principal and independent component analysis in removing extracerebral interference from near-infrared spectroscopy signals. J Biomed Opt. 2009;14(5):054032.CrossRefPubMedGoogle Scholar
  27. 27.
    Zhang Y, Brooks DH, Franceschini MA, Boas DA. Eigenvector-based spatial filtering for reduction of physiological interference in diffuse optical imaging. J Biomed Opt. 2005;10(1):11014.CrossRefPubMedGoogle Scholar
  28. 28.
    Patel S, Katura T, Maki A, Tachtsidis I. Quantification of systemic interference in optical topography data during frontal lobe and motor cortex activation: an independent component analysis. Adv Exp Med Biol. 2011;701:45–51.CrossRefPubMedPubMedCentralGoogle Scholar
  29. 29.
    Markham J, White BR, Zeff BW, Culver JP. Blind identification of evoked human brain activity with independent component analysis of optical data. Hum Brain Mapp. 2009;30(8):2382–92.CrossRefPubMedGoogle Scholar
  30. 30.
    Kohno S, Miyai I, Seiyama A, Oda I, Ishikawa A, Tsuneishi S, Amita T, Shimizu K. Removal of the skin blood flow artifact in functional near-infrared spectroscopic imaging data through independent component analysis. J Biomed Opt. 2007;12(6):062111.CrossRefPubMedGoogle Scholar
  31. 31.
    Katura T, Sato H, Fuchino Y, Yoshida T, Atsumori H, Kiguchi M, Maki A, Abe M, Tanaka N. Extracting task-related activation components from optical topography measurement using independent components analysis. J Biomed Opt. 2008;13(5):054008.CrossRefPubMedGoogle Scholar
  32. 32.
    Akgul CB, Akin A, Sankur B. Extraction of cognitive activity-related waveforms from functional near-infrared spectroscopy signals. Med Biol Eng Comput. 2006;44(11):945–58.CrossRefPubMedGoogle Scholar
  33. 33.
    Delpy DT, Cope M, van der Zee P, Arridge S, Wray S, Wyatt J. Estimation of optical pathlength through tissue from direct time of flight measurement. Phys Med Biol. 1988;33(12):1433–42.CrossRefPubMedGoogle Scholar
  34. 34.
    Maki A, Yamashita Y, Ito Y, Watanabe E, Mayanagi Y, Koizumi H. Spatial and temporal analysis of human motor activity using noninvasive NIR topography. Med Phys. 1995;22(12):1997–2005.CrossRefPubMedGoogle Scholar
  35. 35.
    Suto T, Fukuda M, Ito M, Uehara T, Mikuni M. Multichannel near-infrared spectroscopy in depression and schizophrenia: cognitive brain activation study. Biol Psychiatry. 2004;55(5):501–11.CrossRefPubMedGoogle Scholar
  36. 36.
    Miyazawa T, Horiuchi M, Ichikawa D, Sato K, Tanaka N, Bailey DM, Ogoh S. Kinetics of exercise-induced neural activation; interpretive dilemma of altered cerebral perfusion. Exp Physiol. 2012;97(2):219–27.CrossRefPubMedGoogle Scholar
  37. 37.
    Meng L, Gelb AW, Alexander BS, Cerussi AE, Tromberg BJ, Yu Z, Mantulin WW. Impact of phenylephrine administration on cerebral tissue oxygen saturation and blood volume is modulated by carbon dioxide in anaesthetized patients. Br J Anaesth. 2012;108(5):815–22.CrossRefPubMedPubMedCentralGoogle Scholar
  38. 38.
    Umeyama S, Yamada T. Monte Carlo study of global interference cancellation by multidistance measurement of near-infrared spectroscopy. J Biomed Opt. 2009;14(6):064025.CrossRefPubMedGoogle Scholar
  39. 39.
    Yamada T, Umeyama S, Matsuda K. Multidistance probe arrangement to eliminate artifacts in functional near-infrared spectroscopy. J Biomed Opt. 2009;14(6):064034.CrossRefPubMedGoogle Scholar
  40. 40.
    Kohri S, Hoshi Y, Tamura M, Kato C, Kuge Y, Tamaki N. Quantitative evaluation of the relative contribution ratio of cerebral tissue to near-infrared signals in the adult human head: a preliminary study. Physiol Meas. 2002;23(2):301–12.CrossRefPubMedGoogle Scholar
  41. 41.
    Silke B, McAuley D. Accuracy and precision of blood pressure determination with the Finapres: an overview using re-sampling statistics. J Human Hypertens. 1998;12(6):403–9.CrossRefGoogle Scholar
  42. 42.
    Dorlas JC, Nijboer JA, Butijn WT, van der Hoeven GM, Settels JJ, Wesseling KH. Effects of peripheral vasoconstriction on the blood pressure in the finger, measured continuously by a new noninvasive method (the Finapres). Anesthesiology. 1985;62(3):342–5.CrossRefPubMedGoogle Scholar
  43. 43.
    Friedman DB, Jensen FB, Matzen S, Secher NH. Non-invasive blood pressure monitoring during head-up tilt using the Penaz principle. Acta Anaesth Scand. 1990;34(7):519–22.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Ai Hirasawa
    • 1
  • Takahito Kaneko
    • 2
  • Naoki Tanaka
    • 1
    • 2
  • Tsukasa Funane
    • 3
  • Masashi Kiguchi
    • 3
  • Henrik Sørensen
    • 4
  • Niels H. Secher
    • 4
  • Shigehiko Ogoh
    • 1
    • 2
    Email author
  1. 1.Graduate School of EngineeringToyo UniversityKawagoe-shiJapan
  2. 2.Department of Biomedical Engineering, Faculty of Science and EngineeringToyo UniversityKawagoe-shiJapan
  3. 3.Central Research LaboratoryHitachi, Ltd.Hatoyama-machiJapan
  4. 4.Department of Anesthesia, The Copenhagen Muscle Research Center, RigshospitaletUniversity of CopenhagenCopenhagenDenmark

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