title: Spectral analysis of left ventricular area variability as a tool to improve the understanding of cardiac autonomic control.
abstract: Spectral analysis of the fluctuations in heart rate (HR) or blood pressure (BP) has been extensively used as a tool for the noninvasive assessment of autonomic control of the heart. The recently developed echocardiographic acoustic quantification allows noninvasive continuous measurement of the left ventricular cross-sectional area (LVA) signal. In this study, we investigated whether the LVA signal, and more specifically its fluctuations, can be reliably subjected to spectral analysis, and whether the results of such analysis may improve the understanding of the cardiovascular control mechanisms. Our results show that the general pattern of power spectra of LVA fluctuations, as well as their reproducibility, is similar to the power spectra of HR and BP fluctuations. Analysis of LVA signals obtained in normal subjects at rest as well as under vagal blockade and under held respiration, and in patients with known autonomic dysfunction, showed significant differences between groups and states. The effects of age, related to the reduction in parasympathetic activity, were not evident in the spectral content of the LVA and BP signals. The high frequency LVA fluctuations are mainly of mechanical origin, since they were eliminated by breath-holding. We observed an increase in the high frequency LVA fluctuations under vagal blockade, indicating that under normal (control) conditions, these high frequency fluctuations are attenuated by parasympathetic activity. The enhancement in high frequency fluctuations in LVA observed in diabetic patients can thus be attributed to reduced parasympathetic activity. The analysis of LVA variability may be used as a tool for basic research and, possibly, as a quantitative clinical measure for specific disease states.
authors.affiliation: The Abramson Centre for Medical Physics, Sackler Faculty of Exact Sciences, Tel Aviv University, Israel.
authors.forename: S
authors.initials: S
authors.lastname: Akselrod
authors.forename: Y
authors.initials: Y
authors.lastname: Amitayt
authors.forename: R M
authors.initials: RM
authors.lastname: Lang
authors.forename: V
authors.initials: V
authors.lastname: Mor-Avi
authors.forename: L
authors.initials: L
authors.lastname: Keselbrener
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D001285:Atropine; D001342:Autonomic Nervous System Diseases / Q000000981:diagnostic imaging* / Q000503:physiopathology; D002311:Cardiomyopathy, Dilated / Q000000981:diagnostic imaging / Q000503:physiopathology; D003327:Coronary Disease / Q000000981:diagnostic imaging / Q000503:physiopathology; D003922:Diabetes Mellitus, Type 1 / Q000175:diagnosis / Q000503:physiopathology; D004452:Echocardiography / Q000379:methods* / Q000592:standards; D006321:Heart / Q000294:innervation* / Q000502:physiology; D006352:Heart Ventricles / Q000294:innervation; D006801:Humans; D008875:Middle Aged; D010276:Parasympatholytics; D015203:Reproducibility of Results; D012119:Respiration; D014630:Vagus Nerve / Q000187:drug effects / Q000502:physiology; D016276:Ventricular Function; D016277:Ventricular Function, Left / Q000502:physiology*
chemical_list: D010276:Parasympatholytics; D001285:Atropine