Assessing Inter-subject Variability in Cerebral Blood Flow Control Measurements

  • Dragana NikolicEmail author
  • David M. Simpson
  • E. Katsogridakis
  • Ronney B. Panerai
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 57)


The aim of this study is to assess inter-individual variability and repeatability in measures assessing blood flow control in the brain during spontaneous and enhanced fluctuations in blood pressure. There is clear evidence of inter-individual difference during enhanced blood pressure variability, but not at rest. This difference exceeds the within-individual variability by factor of 2.73.


Cerebral autoregulation Arterial blood pressure Cerebral blood flow control Inter-subject variability 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Watanabe K, Ichinose M, Tahara R, Nishiyasu T (2014) Individual differences in cardiac and vascular components of the pressor response to isometric handgrip exercise in humans. Am J Physiol Heart Circ Physiol 306:251-260.Google Scholar
  2. 2.
    Panerai RB, Rennie JM, Kelsall AWR, Evans DH (1998) Frequency-domain analysis of cerebral autoregulation from spontaneous fluctuations in arterial blood pressure. Med & Biol Eng & Comp 36(3):315-322.Google Scholar
  3. 3.
    Bland JM, Altman DG (1986) Statistical method for assessing agreement between two methods of clinical measurement. The Lancet 8:307-310.Google Scholar
  4. 4.
    Mantha S, Roizen MF, Fleischer LA et al (2000) Comparing methods of clinical measurement: reporting standards for Bland and Altman analysis. Anesth Analg 90:593-602.Google Scholar
  5. 5.
    Zaki R, Bulgiba A, Ismail R, Ismail NA (2012) Statistical methods used to test for agreement of medical instruments measuring continuous variables in method comparison studies: A systematic review. PLoS one, 7(5):e37908.Google Scholar
  6. 6.
    White H (1980) A heteroscedasticity-consistent covariance matrix estimator and a direct test for heteroscedasticity. Econometrica 48:817-838.Google Scholar
  7. 7.
    Weir JP (2005) Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J Strength Cond Res 19(1):231-40.Google Scholar
  8. 8.
    Katsogridakis E, Bush G, Fan L et al (2012) Detection of impaired cerebral autoregulation improves by increasing arterial blood pressure variability. J Cereb Blood Flow Metab 33(4):519-23.Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Dragana Nikolic
    • 1
    Email author
  • David M. Simpson
    • 1
  • E. Katsogridakis
    • 2
  • Ronney B. Panerai
    • 2
  1. 1.Institute of Sound and Vibration ResearchUniversity of SouthamptonSouthamptonUK
  2. 2.Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK

Personalised recommendations