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Wavelet brain angiography suggests arteriovenous pulse wave phase locking

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  • William E Butler

Abstract

When a stroke volume of arterial blood arrives to the brain, the total blood volume in the bony cranium must remain constant as the proportions of arterial and venous blood vary, and by the end of the cardiac cycle an equivalent volume of venous blood must have been ejected. I hypothesize the brain to support this process by an extraluminally mediated exchange of information between its arterial and venous circulations. To test this I introduce wavelet angiography methods to resolve single moving vascular pulse waves (PWs) in the brain while simultaneously measuring brain pulse motion. The wavelet methods require angiographic data acquired at significantly faster rate than cardiac frequency. I obtained these data in humans from brain surface optical angiograms at craniotomy and in piglets from ultrasound angiograms via cranial window. I exploit angiographic time of flight to resolve arterial from venous circulation. Initial wavelet reconstruction proved unsatisfactory because of angiographic motion alias from brain pulse motion. Testing with numerically simulated cerebral angiograms enabled the development of a vascular PW cine imaging method based on cross-correlated wavelets of mixed high frequency and high temporal resolution respectively to attenuate frequency and motion alias. Applied to the human and piglet data, the method resolves individual arterial and venous PWs and finds them to be phase locked each with separate phase relations to brain pulse motion. This is consistent with arterial and venous PW coordination mediated by pulse motion and points to a testable hypothesis of a function of cerebrospinal fluid in the ventricles of the brain.

Suggested Citation

  • William E Butler, 2017. "Wavelet brain angiography suggests arteriovenous pulse wave phase locking," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-23, November.
  • Handle: RePEc:plo:pone00:0187014
    DOI: 10.1371/journal.pone.0187014
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    Cited by:

    1. Xiaolei Zhang & Weijun Pan, 2019. "Exon prediction based on multiscale products of a genomic-inspired multiscale bilateral filtering," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-15, March.

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