Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Computational Modelling of the Role of Atrial Fibrillation on Cerebral Blood Perfusion

  • Conference paper
  • First Online:
Functional Imaging and Modeling of the Heart (FIMH 2021)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12738))

Abstract

Atrial fibrillation is a prevalent cardiac arrhythmia, and may reduce cerebral blood perfusion augmenting the risk of dementia. It is thought that geometric variations in the cerebral arterial structure called the Circle of Willis play an important role influencing cerebral perfusion. The objective of this work is to use computational modelling to investigate the role of variations in cerebral vascular structure on cerebral blood flow dynamics during atrial fibrillation.

A computational blood flow model was developed by coupling whole-body and detailed cerebral circulation models, modified to represent the most common variations of the Circle of Willis. Cerebral blood flow dynamics were simulated in common Circle of Willis variants, with imposed atrial fibrillation conditions. Perfusion and its heterogeneity were quantified using segment-wise hypoperfusion events and mean perfusion at terminals.

It was found that cerebral perfusion and the rate of hypoperfusion events strongly depend on Circle of Willis geometry as well as atrial fibrillation induced stochastic heart rates. The missing ACA1 variant had a 25% decrease in hypoperfusion events compared to normal, while the missing PCA1 and PCoA variant had a 550% increase. A similar trend was observed in flow heterogeneity. The hypoperfusion events were specific to particular arteries within each variant. Our results, based on biophysical principles, suggest that cerebral vascular geometry plays an important role influencing cerebral hemodynamics during atrial fibrillation. Additionally, our findings suggest potential clinical assessment sites. Further work will be conducted using spatially resolved 1D modelling.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Similar content being viewed by others

References

  1. Gardarsdottir, M., et al.: Atrial fibrillation is associated with decreased total cerebral blood flow and brain perfusion. Europace 20, 1252–1258 (2018)

    Article  Google Scholar 

  2. Anazodo, U.C., Shoemaker, J.K., Suskin, N., St Lawrence, K.S.: An investigation of changes in regional gray matter volume in cardiovascular disease patients, pre and post cardiovascular rehabilitation. NeuroImage Clin. 3, 388–395 (2013)

    Article  Google Scholar 

  3. Steinman, D.A., Poepping, T.L., Tambasco, M., Rankin, R.N., Holdsworth, D.W.: Flow patterns at the stenosed carotid bifurcation: effect of concentric versus eccentric stenosis. Ann. Biomed. Eng. 28, 415–423 (2000)

    Article  Google Scholar 

  4. Antiga, L., Piccinelli, M., Botti, L., Ene-Iordache, B., Remuzzi, A., Steinman, D.A.: An image-based modeling framework for patient-specific computational hemodynamics. Med. Biol. Eng. Comput. 46, 1097–1112 (2008)

    Article  Google Scholar 

  5. Ursino, M., Giannessi, M.: A model of cerebrovascular reactivity including the circle of willis and cortical anastomoses. Ann. Biomed. Eng. 38, 955–974 (2010)

    Article  Google Scholar 

  6. Altamirano-Diaz, L., Kassay, A.D., Serajelahi, B., McIntyre, C.W., Filler, G., Kharche, S.R.: Arterial hypertension and unusual ascending aortic dilatation in a neonate with acute kidney injury: mechanistic computer modeling. Front. Physiol. 10, 1391 (2019)

    Article  Google Scholar 

  7. Anselmino, M., Scarsoglio, S., Saglietto, A., Gaita, F., Ridolfi, L.: Transient cerebral hypoperfusion and hypertensive events during atrial fibrillation: a plausible mechanism for cognitive impairment. Sci. Rep. 6, 28635 (2016)

    Article  Google Scholar 

  8. Joseph, J.J., Hunter, T.J., Sun, C., Goldman, D., McIntyre, C.W., Kharche, S.R.: Using a human circulation mathematical model to simulate the effects of hemodialysis and therapeutic hypothermia. Front. Physiol. (2021, Submitted)

    Google Scholar 

  9. Heldt, T., Shim, E.B., Kamm, R.D., Mark, R.G.: Computational modeling of cardiovascular response to orthostatic stress. J. Appl. Physiol. 1985(92), 1239–1254 (2002)

    Article  Google Scholar 

  10. Heldt, T., Mukkamala, R., Moody, G.B., Mark, R.G.: CVSim: an open-source cardiovascular simulator for teaching and research. Open Pacing Electrophysiol. Ther. J. 3, 45–54 (2010)

    Google Scholar 

  11. Lin, J., Ngwompo, R.F., Tilley, D.G.: Development of a cardiopulmonary mathematical model incorporating a baro chemoreceptor reflex control system. Proc. Inst. Mech. Eng. Part H J. Eng. Med. 226, 787–803 (2012)

    Article  Google Scholar 

  12. Alastruey, J., Parker, K.H., Peiro, J., Byrd, S.M., Sherwin, S.J.: Modelling the circle of Willis to assess the effects of anatomical variations and occlusions on cerebral flows. J. Biomech. 40, 1794–1805 (2007)

    Article  Google Scholar 

  13. Hennig, T., Maass, P., Hayano, J., Heinrichs, S.: Exponential distribution of long heart beat intervals during atrial fibrillation and their relevance for white noise behaviour in power spectrum. J. Biol. Phys. 32, 383–392 (2006)

    Article  Google Scholar 

  14. Scarsoglio, S., Guala, A., Camporeale, C., Ridolfi, L.: Impact of atrial fibrillation on the cardiovascular system through a lumped-parameter approach. Med. Biol. Eng. Comput. 52, 905–920 (2014)

    Article  Google Scholar 

  15. Anselmino, M., Scarsoglio, S., Saglietto, A., Gaita, F., Ridolfi, L.: A computational study on the relation between resting heart rate and atrial fibrillation hemodynamics under exercise. PLoS ONE 12, e0169967 (2017)

    Article  Google Scholar 

  16. Pianelli, M., et al.: Delaying cardioversion following 4-week anticoagulation in case of persistent atrial fibrillation after a transcatheter ablation procedure to reduce silent cerebral thromboembolism: a single-center pilot study. J. Cardiovasc. Med. 12, 785–789 (2011)

    Article  Google Scholar 

  17. Hindmarsh, A.C., et al.: SUNDIALS: suite of nonlinear and differential/algebraic equation solvers. ACM Trans. Math. Softw. 31, 363–396 (2005)

    Article  MathSciNet  Google Scholar 

  18. Joseph, J.J., Lee, T., Goldman, D., Mcintyre, C.W., Kharche, S.R.: The role of extra-coronary vascular conditions that affect coronary fractional flow reserve estimation. Lect. Notes Comput. Sci. (2021, Submitted)

    Google Scholar 

Download references

Acknowledgements

This work was supported by Canada Canarie Inc. (RS-111), Canada Heart and Stroke Foundation grant (G-20-0028717), Canada NSERC operational grant (R4081A03), and NSERC graduate scholarship. We thank Compute Canada for high performance computing resources. We thank Dr. Kapiraj Chandrabalan for editing support.

Author information

Authors and Affiliations

  1. Department of Medical Biophysics, University of Western Ontario, London, ON, N6A 3K7, Canada

    Timothy J. Hunter, Jermiah J. Joseph, Udunna Anazodo, Sanjay R. Kharche, Christopher W. McIntyre & Daniel Goldman

  2. Lawson Health Research Centre, London, ON, N6A 5W9, Canada

    Timothy J. Hunter, Jermiah J. Joseph, Udunna Anazodo, Sanjay R. Kharche & Christopher W. McIntyre

Authors
  1. Timothy J. Hunter
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jermiah J. Joseph
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Udunna Anazodo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sanjay R. Kharche
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Christopher W. McIntyre
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Daniel Goldman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sanjay R. Kharche .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Daniel B. Ennis

  2. University of Central Florida, Orlando, FL, USA

    Luigi E. Perotti

  3. Stanford University, Stanford, CA, USA

    Vicky Y. Wang

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hunter, T.J., Joseph, J.J., Anazodo, U., Kharche, S.R., McIntyre, C.W., Goldman, D. (2021). Computational Modelling of the Role of Atrial Fibrillation on Cerebral Blood Perfusion. In: Ennis, D.B., Perotti, L.E., Wang, V.Y. (eds) Functional Imaging and Modeling of the Heart. FIMH 2021. Lecture Notes in Computer Science(), vol 12738. Springer, Cham. https://doi.org/10.1007/978-3-030-78710-3_65

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-78710-3_65

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78709-7

  • Online ISBN: 978-3-030-78710-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation