Key result
A time-varying bispectrum approach detected significant nonlinear interactions in spontaneously hypertensive rats, with longer coupling duration in stop flow pressure than whole kidney data (P=0.001).
Population
Sprague-Dawley rats and spontaneously hypertensive rats
Design
Preclinical
Authors
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Supports nonlinear renal autoregulation analysis in hypertension models; leaves open human translation.
p-value: p=0.001
Time-varying bispectrum analysis reveals that nonlinear coupling between renal autoregulatory mechanisms is present at both single nephron and whole kidney levels in both normotensive and hypertensive rats.
Raghavan et al. (2005) studied Hypertension (animal model) (n=30). Time-varying bispectrum approach was evaluated on Duration of nonlinear coupling (p=0.001). A time-varying bispectrum approach detected significant nonlinear interactions in spontaneously hypertensive rats, with longer coupling duration in stop flow pressure than whole kidney data (P=0.001).
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