The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network
Open accessAbstract
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 ).
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Cites
van Beek, A. H., Claassen, J. A., Rikkert, M. G. O., & Jansen, R. W. (2008) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2008.13 · Cited by 485
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Metadata
- Authors
- Claassen, J. A., Meel-van den Abeelen, A. S., Simpson, D. M., Panerai, R. B., & on behalf of the international Cerebral Autoregulation Research Network (CARNet)
- Venue
- Journal of Cerebral Blood Flow & Metabolism
- Publisher
- SAGE Publications
- Published
- 2016-01-18
- Volume
- 36
- Issue
- 4
- Pages
- 665-680
- ISSN
- 0271-678X (ISSN-L)
- 1559-7016
- OpenAlex
- W2314201917
- Cited by
- 475
- References
- 1
- FWCI
- 28.75
- Type
- journal article
- Language
- en
- Open access
- green
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