Medical Engineering & Physics
Volume 28, Issue 4 , Pages 304-314 , May 2006

Reduction of compartment compliance increases venous flow pulsatility and lowers apparent vascular compliance: Implications for cerebral blood flow hemodynamics

  • Xiao Hu

      Affiliations

    • Division of Neurosurgery, The David Geffen School of Medicine at UCLA, University of California, 10833 LeConte Ave., 74-134 CHS (Mail-Code 956901), Los Angeles, CA 90095-6901, USA
    • Biomedical Engineering Program, The David Geffen School of Medicine at UCLA, University of California, Los Angeles, USA
    • ,
  • Abeer A. Alwan

      Affiliations

    • Biomedical Engineering Program, The David Geffen School of Medicine at UCLA, University of California, Los Angeles, USA
    • Department of Electrical Engineering, The David Geffen School of Medicine at UCLA, University of California, Los Angeles, USA
    • ,
  • Eduardo H. Rubinstein

      Affiliations

    • Department of Anesthesiology, The David Geffen School of Medicine at UCLA, University of California, Los Angeles, USA
    • Department of Physiology, The David Geffen School of Medicine at UCLA, University of California, Los Angeles, USA
    • ,
  • Marvin Bergsneider

      Affiliations

    • Division of Neurosurgery, The David Geffen School of Medicine at UCLA, University of California, 10833 LeConte Ave., 74-134 CHS (Mail-Code 956901), Los Angeles, CA 90095-6901, USA
    • Biomedical Engineering Program, The David Geffen School of Medicine at UCLA, University of California, Los Angeles, USA
    • Corresponding Author InformationCorresponding author. Tel.: +1 310 206 4100; fax: +1 310 825 7245.

Received 1 November 2004 ,Revised 9 June 2005 ,Accepted 4 July 2005.

References 

  1. Greitz D. Cerebrospinal fluid circulation and associated intracranial dynamics. A radiologic investigation using MR imaging and radionuclide cisternography. Acta Radiol Suppl. 1993;386:1–23
  2. Greitz D, Franck A, Nordell B. On the pulsatile nature of intracranial and spinal CSF-circulation demonstrated by MR imaging. Acta Radiol. 1993;34:321–328
  3. Bergsneider M, Alwan AA, Falkson L, Rubinstein EH. The relationship of pulsatile cerebrospinal fluid flow to cerebral blood flow and intracranial pressure: a new theoretical model. Acta Neurochir Suppl (Wien). 1998;71:266–268
  4. Bergsneider M. Evolving concepts of cerebrospinal fluid physiology. Neurosurg Clin N Am. 2001;12:238–631
  5. Egnor M, Rosiello A, Zheng L. A model of intracranial pulsations. Pediatr Neurosurg. 2001;35:284–298
  6. Egnor M, Zheng L, Rosiello A, Gutman F, Davis R. model of pulsations in communicating hydrocephalus. Pediatr Neurosurg. 2002;36:281–303
  7. Frank O. Die Grundform des Arteriellen Pulse. Z. Biol. 1899;37:483–526
  8. Yin F, Liu Z. Arterial compliance-physiological viewpoint. In: Westerhof N, Gross, DR, editors. Vascular dynamics. Physiological perspectives. New York: Plenum; 1989.
  9. Carmelo A, Ficola A, Fravolini ML, La Cava M, Maira G, Mangiola A, et al. ICP CBF regulation: effect of the decompressive craniectomy. Acta Neurochir Suppl. 2002;81:109–111
  10. Grande PO, Asgeirsson B, Nordstrom CH. Physiologic principles for volume regulation of a tissue enclosed in a rigid shell with application to the injured brain. J Trauma. 1997;42(Suppl. 5):S23–S31
  11. Quick CM, Berger DS, Noordergraaf A. Apparent arterial compliance. Am J Physiol. 1998;274(4 Part 2):H1393–H1403
  12. Cappello A, Gnudi G, Lamberti C. Identification of the three-element Windkessel model incorporating a pressure-dependent compliance. Ann Biomed Eng. 1995;23:164–177
  13. Shim Y, Pasipoularides A, Straley CA, Hampton TG, Soto PF, Owen CH, et al. Arterial Windkessel parameter estimation: a new time-domain method. Ann Biomed Eng. 1994;22:66–77
  14. Kormylo JJ, Jain VK. Two-pass recursive digital filter with zero phase shift. IEEE Trans Acoust Speech Signal Process. 1974;ASSP-22:384–387
  15. Ljung L. System identification: theory for the user. 2nd ed.. Upper Saddle River, NJ: Prentice Hall PTR; 1999;
  16. Kay SM. Modern spectral estimation : theory and application. Englewood Cliffs, NJ: Prentice Hall; 1988;
  17. Priestley MB. Spectral analysis and time series. London, New York: Academic Press; 1981;
  18. Welch PD. The use of fast Fourier transform for the estimation of power spectra: a method based on time averaging over short modified periodograms. IEEE Trans Audio Electroacoust. 1967;AU-15:70–73
  19. Permutt S, Riley RL. Hemodynamics of collapsible vessels with tone: the vascular waterfall. J Appl Physiol. 1963;18:924–932
  20. Agarwal GC, Berman BM, Stark L. A lumped parameter model of the cerebrospinal fluid system. IEEE Trans Biomed Eng. 1969;16:45–53
  21. Ursino M. A mathematical study of human intracranial hydrodynamics. I. The cerebrospinal fluid pulse pressure. Ann Biomed Eng. 1988;16:379–401
  22. Ursino M, Giammarco PD . A mathematical model of the relationship between cerebral blood volume and intracranial pressure changes: the generation of plateau waves. Ann Biomed Eng. 1991;19:15–42
  23. Michel E, vonTwickel HS, Zernikow J, Jorch BG. Frequency dependence of cerebrovascular impedance in preterm neonates: a different view on critical closing pressure. J Cereb Blood Flow Metab. 1997;17(10):1127–1131
  24. Kadas ZM, Lakin WD, Yu J, Penar PL. A mathematical model of the intracranial system including autoregulation. Neurol Res. 1997;19:441–450
  25. Curran-Everett DZY, Jones RH, Jones MD. Hypoxia, hypercapnia, and hypertension: their effects on pulsatile cerebral blood flow. J Appl Physiol. 1995;79:870–878
  26. Avezaat CJ, van Eijndhoven JH. Clinical observations on the relationship between cerebrospinal fluid pulse pressure and intracranial pressure. Acta Neurochir (Wien). 1986;79:13–29
  27. Nagasawa S, Handa H, Okumura A, Naruo Y, Okamoto S, Moritake K, et al. Mechanical properties of human cerebral arteries: part 2. Vasospasm. Surg Neurol. 1980;14:285–290

PII: S1350-4533(05)00138-4

doi: 10.1016/j.medengphy.2005.07.006

Medical Engineering & Physics
Volume 28, Issue 4 , Pages 304-314 , May 2006

Article Tools

* Image Usage & Resolution