Linear and nonlinear analysis of human dynamic cerebral autoregulation

Citation
Rb. Panerai et al., Linear and nonlinear analysis of human dynamic cerebral autoregulation, AM J P-HEAR, 46(3), 1999, pp. H1089-H1099
Citations number
33
Categorie Soggetti
Cardiovascular & Hematology Research
Journal title
AMERICAN JOURNAL OF PHYSIOLOGY-HEART AND CIRCULATORY PHYSIOLOGY
ISSN journal
03636135 → ACNP
Volume
46
Issue
3
Year of publication
1999
Pages
H1089 - H1099
Database
ISI
SICI code
0363-6135(199909)46:3<H1089:LANAOH>2.0.ZU;2-Y
Abstract
The linear dynamic relationship between systemic arterial blood pressure (A BP) and cerebral blood flow velocity (CBFV) was studied by time- and freque ncy-domain analysis methods. A nonlinear moving-average approach was also i mplemented using Volterra-Wiener kernels. In 47 normal subjects, ABP was me asured with Finapres and CBFV was recorded with Doppler ultrasound in both middle cerebral arteries at rest in the supine position and also during ABP drops induced by the sudden deflation of thigh cuffs. Impulse response fun ctions estimated by Fourier transfer function analysis, a second-order math ematical model proposed by Tiecks, and the linear kernel of the Volterra-Wi ener moving-average representation provided reconstructed velocity model re sponses, for the same segment of data, with significant correlations to CBF V recordings corresponding to r = 0.52 +/- 0.19, 0.53 +/- 0.16, and 0.67 +/ - 0.12 (mean +/- SD), respectively. The correlation coefficient for the lin ear plus quadratic kernels was 0.82 +/- 0.08, significantly superior to tha t for the linear models (P < 10(-6)). The supine linear impulse responses w ere also used to predict the velocity transient of a different baseline seg ment of data and of the thigh cuff velocity response with significant corre lations. In both cases, the three linear methods provided equivalent model performances, but the correlation coefficient for the nonlinear model dropp ed to 0.26 +/- 0.25 for the baseline test set of data and to 0.21 +/- 0.42 for the thigh cuff data. Whereas it is possible to model dynamic cerebral a utoregulation in humans with different linear methods, in the supine positi on a second-order nonlinear component contributes significantly to improve model accuracy for the same segment of data used to estimate model paramete rs, but it cannot be automatically extended to represent the nonlinear comp onent of velocity responses of different segments of data or transient chan ges induced by the thigh cuff test.