Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Wavelet cross-correlation (WCC) is used to analyse the relationship between low-frequency oscillations in near-infrared spectroscopy (NIRS) measured cerebral oxyhaemoglobin (O(2)Hb) and mean arterial blood pressure (MAP) in patients suffering from autonomic failure and age-matched controls. Statistically significant differences are found in the wavelet scale of maximum cross-correlation upon posture change in patients, but not in controls. We propose that WCC analysis of the relationship between O(2)Hb and MAP provides a useful method of investigating the dynamics of cerebral autoregulation using the spontaneous low-frequency oscillations that are typically observed in both variables without having to make the assumption of stationarity of the time series. It is suggested that for a short-duration clinical test previous transfer-function-based approaches to analyse this relationship may suffer due to the inherent nonstationarity of low-frequency oscillations that are observed in the resting brain.

Original publication

DOI

10.1088/0967-3334/28/2/005

Type

Journal article

Journal

Physiol Meas

Publication Date

02/2007

Volume

28

Pages

161 - 173

Keywords

Adult, Aged, Algorithms, Autonomic Nervous System Diseases, Blood Pressure, Brain Chemistry, Data Interpretation, Statistical, Female, Homeostasis, Humans, Male, Middle Aged, Oxyhemoglobins, Plethysmography, Spectroscopy, Near-Infrared, Supine Position, Tilt-Table Test