Skip to main content

Mathematical Modelling of Near-Infrared Spectroscopy Signals and Intracranial Pressure in Brain-Injured Patients

  • Conference paper
  • First Online:
Oxygen Transport to Tissue XXXV

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 789))

Abstract

Raised intracranial pressure (ICP) is a key concern following acute brain injury as it may be associated with cerebral hypoperfusion and poor outcome. In this research we describe a mathematical physiological model designed to interpret cerebral physiology from neuromonitoring: ICP, near-infrared spectroscopy and transcranial Doppler flow velocity. This aims to characterise the complex dynamics of cerebral compliance, cerebral blood volume, cerebral blood flow and their regulation in individual patients. Analysis of data from six brain-injured patients produces cohesive predictions of cerebral biomechanics suggesting reduced cerebral compliance, reduced volume compensation and impaired blood flow autoregulation. Patient-specific physiological modelling has the potential to predict the key biomechanical and haemodynamic changes following brain injury in individual patients, and might be used to inform individualised treatment strategies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Czosnyka M, Smielewski P, Timofeev I et al (2007) Intracranial pressure: more than a number. Neurosurg Focus 22(5):E10

    Article  Google Scholar 

  2. Ursino M, Lodi C (1997) A simple mathematical model of the interaction between intracranial pressure and cerebral hemodynamics. J Appl Physiol 82(4):1256–1269

    Article  CAS  Google Scholar 

  3. Banaji M, Mallet A, Elwell CE, Nicholis P, Cooper CE (2008) A model of brain circulation and metabolism: NIRS signal changes during physiological challenges. PLoS Comp Biol 4(11):e1000212

    Article  Google Scholar 

  4. Banaji M, Tachtsidis I, Delpy D, Baigent S (2005) A physiological model of cerebral blood flow control. Math Biosci 194(2):125–173

    Article  Google Scholar 

  5. Ursino M, Ter Minassian A, Lodi CA, Beydon L (2000) Cerebral hemodynamics during arterial and CO2 pressure changes: in vivo prediction by a mathematical model. Am J Physiol Heart Circ Physiol 279(5):H2439–H2455

    Article  CAS  Google Scholar 

  6. Highton D, Panovska-Griffiths J, Ghosh A et al (2013) Modelling cerebrovascular reactivity: a novel near-infrared biomarker of cerebral autoregulation? Adv Exp Med Biol 765:87–93

    Article  CAS  Google Scholar 

  7. Wakeland W, Agbeko R, Vinecore K, Peters M, Goldstein B (2009) Assessing the prediction potential of an in silico computer model of intracranial pressure dynamics. Crit Care Med 37(3):1079–1089

    Article  Google Scholar 

Download references

Acknowledgments

This work was undertaken at University College London Hospitals and partially funded by the Department of Health’s National Institute for Health Research Centres funding scheme. Support was also been provided by the Medical Research Council and Wellcome Trust. The authors are indebted to the medical and nursing staff of the Neurocritical Care Unit at the National Hospital for Neurology and Neurosurgery and to the study patients and their families.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Highton .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this paper

Cite this paper

Highton, D., Panovska-Griffiths, J., Smith, M., Elwell, C.E. (2013). Mathematical Modelling of Near-Infrared Spectroscopy Signals and Intracranial Pressure in Brain-Injured Patients. In: Van Huffel, S., Naulaers, G., Caicedo, A., Bruley, D.F., Harrison, D.K. (eds) Oxygen Transport to Tissue XXXV. Advances in Experimental Medicine and Biology, vol 789. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7411-1_46

Download citation

Publish with us

Policies and ethics