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Multivariate system identification for cerebral autoregulation.

Tingying Peng1, Alexander B Rowley, Philip N Ainslie

  • 1Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK. tingying.peng@lincoln.ox.ac.uk

Annals of Biomedical Engineering
|December 11, 2007
PubMed
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Beat-to-beat cerebral blood flow velocity (CBFV) is influenced by more than just blood pressure. Including carbon dioxide (CO2) and oxygen (O2) levels significantly improves coherence analysis, revealing complex interactions in cerebral blood flow regulation.

Area of Science:

  • Neuroscience
  • Physiology
  • Biomedical Engineering

Background:

  • Cerebral blood flow velocity (CBFV) naturally fluctuates beat-to-beat.
  • These fluctuations are influenced by mean arterial blood pressure (ABP), end-tidal carbon dioxide (PETCO2), and end-tidal oxygen (PETO2).
  • Previous analyses often used univariate coherence, focusing solely on ABP, potentially overlooking other influential factors.

Purpose of the Study:

  • To investigate the impact of ABP, PETCO2, and PETO2 fluctuations on beat-to-beat CBFV variations.
  • To assess the effectiveness of multiple coherence analysis compared to univariate methods in understanding CBFV regulation.
  • To explore how CO2 and O2 reactivity modify the relationship between ABP and CBFV.

Main Methods:

  • Utilized multiple coherence function to analyze beat-to-beat variations in CBFV, ABP, PETCO2, and PETO2 from 13 healthy subjects.

Related Experiment Videos

  • Compared multiple coherence values with univariate coherence values obtained using only ABP as input.
  • Employed a physiologically based model with a linear transfer function for simulation and investigation.

    • Main Results:

    • Multiple coherence for frequencies below 0.05 Hz was significantly higher when including PETCO2 and PETO2 alongside ABP, compared to using ABP alone.
    • Low univariate coherence at low frequencies may be attributed to the influence of PETCO2 and PETO2 fluctuations on CBFV.
    • The transfer function between ABP and CBFV at low frequencies is affected by CO2 and O2 reactivity, not solely representing pressure autoregulation.

    Conclusions:

    • Multivariate system identification is crucial for accurately modeling CBFV variability by incorporating PETCO2 and PETO2.
    • CO2 and O2 reactivity significantly influence the ABP-CBFV relationship, complicating interpretations based on pressure autoregulation alone.
    • Understanding these complex interactions is vital for accurate assessment of cerebral blood flow regulation.