Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network

Cerebral autoregulation is the intrinsic ability of the brain to maintain adequate cerebral perfusion in the presence of blood pressure changes. A large number of methods to assess the quality of cerebral autoregulation have been proposed over the last 30 years. However, no single method has been universally accepted as a gold standard. Therefore, the choice of which method to employ to quantify cerebral autoregulation remains a matter of personal choice. Nevertheless, given the concept that cerebral autoregulation represents the dynamic relationship between blood pressure (stimulus or input) and cerebral blood flow (response or output), transfer function analysis became the most popular approach adopted in studies based on spontaneous fluctuations of blood pressure. Despite its sound theoretical background, the literature shows considerable variation in implementation of transfer function analysis in practice, which has limited comparisons between studies and hindered progress towards clinical application. Therefore, the purpose of the present white paper is to improve standardisation of parameters and settings adopted for application of transfer function analysis in studies of dynamic cerebral autoregulation. The development of these recommendations was initiated by (but not confined to) the Cerebral Autoregulation Research Network (CARNet – www.car-net.org).

[1]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[2]  R. Drost [Autoregulation of cerebral blood flow]. , 1970, Munchener medizinische Wochenschrift.

[3]  J. Bendat,et al.  Random Data: Analysis and Measurement Procedures , 1971 .

[4]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[5]  D. Wyper,et al.  Prediction of late ischemic complications after cerebral aneurysm surgery by the intraoperative measurement of cerebral blood flow. , 1980, Journal of neurosurgery.

[6]  O B Paulson,et al.  Cerebral autoregulation. , 1984, Stroke.

[7]  E. Enevoldsen,et al.  Cerebrovascular reactivity in patients with ruptured intracranial aneurysms. , 1985, Journal of neurosurgery.

[8]  J. Bendat,et al.  DECOMPOSITION OF WAVE FORCES INTO LINEAR AND NON-LINEAR COMPONENTS , 1986 .

[9]  R. Aaslid,et al.  Cerebral autoregulation dynamics in humans. , 1989, Stroke.

[10]  C A Giller The frequency-dependent behavior of cerebral autoregulation. , 1990, Neurosurgery.

[11]  D H Evans,et al.  Cerebral autoregulation dynamics in premature newborns. , 1995, Stroke.

[12]  D. Newell,et al.  Comparison of static and dynamic cerebral autoregulation measurements. , 1995, Stroke.

[13]  J. Pickard,et al.  Monitoring of cerebral autoregulation in head-injured patients. , 1996, Stroke.

[14]  Wei-Min Zhang,et al.  Suppression of cAMP by phosphoinositol/Ca2+ pathway in the cardiac κ-opioid receptor. , 1998, American journal of physiology. Cell physiology.

[15]  D. Newell,et al.  Temporal Patterns of Evoked Cerebral Blood Flow during Reading , 1998, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[16]  R. Panerai Assessment of cerebral pressure autoregulation in humans - a review of measurement methods , 1998, Physiological measurement.

[17]  B. Levine,et al.  Transfer function analysis of dynamic cerebral autoregulation in humans. , 1998, American journal of physiology. Heart and circulatory physiology.

[18]  J D Pickard,et al.  The continuous assessment of cerebrovascular reactivity: a validation of the method in healthy volunteers. , 1999, Anesthesia and analgesia.

[19]  D H Evans,et al.  Effect of CO2 on dynamic cerebral autoregulation measurement , 1999, Physiological measurement.

[20]  R. Panerai,et al.  Linear and nonlinear analysis of human dynamic cerebral autoregulation. , 1999, American journal of physiology. Heart and circulatory physiology.

[21]  R. Jansen,et al.  Achieving haemodynamic baseline values with Finapres in elderly subjects during supine rest. , 2000, Clinical physiology.

[22]  V. Z. Marmarelis,et al.  Modeling of Nonlinear Physiological Systems with Fast and Slow Dynamics. II. Application to Cerebral Autoregulation , 2002, Annals of Biomedical Engineering.

[23]  Ronney B. Panerai,et al.  A Parametric Approach to Measuring Cerebral Blood Flow Autoregulation from Spontaneous Variations in Blood Pressure , 2004, Annals of Biomedical Engineering.

[24]  Chung-Kang Peng,et al.  Multimodal pressure-flow method to assess dynamics of cerebral autoregulation in stroke and hypertension , 2004, Biomedical engineering online.

[25]  Peter Berlit,et al.  Spontaneous blood pressure oscillations and cerebral autoregulation , 1998, Clinical Autonomic Research.

[26]  F. Magrini,et al.  How long shall the patient rest before clinic blood pressure measurement? , 2006, American journal of hypertension.

[27]  Ronney B Panerai,et al.  Multiple coherence of cerebral blood flow velocity in humans. , 2006, American journal of physiology. Heart and circulatory physiology.

[28]  S. Ogoh,et al.  Alterations in cerebral autoregulation and cerebral blood flow velocity during acute hypoxia: rest and exercise. , 2007, American journal of physiology. Heart and circulatory physiology.

[29]  Rong Zhang,et al.  Transcranial Doppler estimation of cerebral blood flow and cerebrovascular conductance during modified rebreathing. , 2007, Journal of applied physiology.

[30]  Jürgen Meixensberger,et al.  Continuous Monitoring of Cerebrovascular Autoregulation After Subarachnoid Hemorrhage by Brain Tissue Oxygen Pressure Reactivity and Its Relation to Delayed Cerebral Infarction , 2007, Stroke.

[31]  Leo Celi,et al.  Dynamic cerebral autoregulation and baroreflex sensitivity during modest and severe step changes in arterial PCO2 , 2008, Brain Research.

[32]  J. Claassen,et al.  Cerebral Autoregulation: An Overview of Current Concepts and Methodology with Special Focus on the Elderly , 2008, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[33]  Marek Czosnyka,et al.  Nonlinear Assessment of Cerebral Autoregulation from Spontaneous Blood Pressure and Cerebral Blood Flow Fluctuations , 2008, Cardiovascular engineering.

[34]  Ronney B Panerai,et al.  Cerebral Autoregulation: From Models to Clinical Applications , 2008, Cardiovascular engineering.

[35]  R. Panerai Transcranial Doppler for evaluation of cerebral autoregulation , 2009, Clinical Autonomic Research.

[36]  James Duffin,et al.  Integration of cerebrovascular CO2 reactivity and chemoreflex control of breathing: mechanisms of regulation, measurement, and interpretation. , 2009, American journal of physiology. Regulatory, integrative and comparative physiology.

[37]  Rong Zhang,et al.  Dynamic cerebral autoregulation during repeated squat-stand maneuvers. , 2009, Journal of applied physiology.

[38]  Erik D. Gommer,et al.  Dynamic cerebral autoregulation: different signal processing methods without influence on results and reproducibility , 2010, Medical & Biological Engineering & Computing.

[39]  M. O. Olde Rikkert,et al.  Dynamic cerebral autoregulation in the old using a repeated sit-stand maneuver. , 2010, Ultrasound in medicine & biology.

[40]  G. ÓLaighin,et al.  The effect of blood pressure calibrations and transcranial Doppler signal loss on transfer function estimates of cerebral autoregulation. , 2011, Medical engineering & physics.

[41]  Peter J. Kirkpatrick,et al.  Impairment of Cerebral Autoregulation Predicts Delayed Cerebral Ischemia After Subarachnoid Hemorrhage: A Prospective Observational Study , 2012, Stroke.

[42]  Y. Tzeng,et al.  Assessment of cerebral autoregulation: the quandary of quantification. , 2012, American journal of physiology. Heart and circulatory physiology.

[43]  Robert E. Hampson,et al.  Nonlinear modeling of dynamic interactions within neuronal ensembles using Principal Dynamic Modes , 2012, Journal of Computational Neuroscience.

[44]  J. Meixensberger,et al.  Clinical Significance of Impaired Cerebrovascular Autoregulation After Severe Aneurysmal Subarachnoid Hemorrhage , 2012, Stroke.

[45]  R. Panerai,et al.  Autonomic dysfunction affects dynamic cerebral autoregulation during Valsalva maneuver: comparison between healthy and autonomic dysfunction subjects. , 2014, Journal of applied physiology.

[46]  Ronney B Panerai,et al.  Transfer function analysis for the assessment of cerebral autoregulation using spontaneous oscillations in blood pressure and cerebral blood flow. , 2014, Medical engineering & physics.

[47]  Ronney B Panerai,et al.  Nonstationarity of dynamic cerebral autoregulation. , 2014, Medical engineering & physics.

[48]  Joseph A Fisher,et al.  Integrative regulation of human brain blood flow , 2014, The Journal of physiology.

[49]  Dae C. Shin,et al.  Between-centre variability in transfer function analysis, a widely used method for linear quantification of the dynamic pressure-flow relation: the CARNet study. , 2014, Medical engineering & physics.

[50]  Jurgen A. H. R. Claassen,et al.  Very-low-frequency oscillations of cerebral hemodynamics and blood pressure are affected by aging and cognitive load , 2014, NeuroImage.