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

Jurgen Ahr Claassen, Aisha Ss Meel-Van Den Abeelen, David M. Simpson, Ronney B. Panerai, Alexander Caicedo Dorado, Georgios D. Mitsis, Patrice Brassard, Philip Ainslie, Paul Summers, Kenichi Iwasaki, Arminas Ragauskas, Yu-Chieh Tzeng, Martin Müller, Cheng-Yen Wang, Han Hwa Hu, Aisha S.S. Meel-Van Den Abeelen, Erik Gommer, John M. Karemaker, Marcel Aries, Johannes J. Van LieshoutVladimir Semenyuti, Vugar Aliev, John Potter, Peter Smielewski, Xiuyun Liu, Marek Czosnyka, Stephen Payne, Damian Bailey, Bernardo Yelicich, Corina Puppo, Dae Shin, Caroline A. Rickards, Jorge Serrador, Rong Zhang, Vasilis Marmarelis, Vera Novak

Research output: Contribution to journalArticlepeer-review


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 -
Original languageEnglish
Pages (from-to)665-680
Number of pages16
JournalJournal of Cerebral Blood Flow and Metabolism
Issue number4
Publication statusPublished - 28 Nov 2015


  • Cerebral autoregulation
  • cerebral blood flow
  • gold standard
  • transfer function analysis
  • white paper
  • arterial pressure
  • autoregulation
  • brain blood flow
  • brain injury
  • brain perfusion
  • cerebral autoregulation
  • controlled study
  • heart cycle
  • human
  • mean arterial pressure
  • middle cerebral artery
  • review
  • standardization


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