Vasomotion patterns in skeletal muscle arterioles during changes in arterial pressure

Meyer, J.-U.; Borgström, Per; Lindbom, Lennart; Intaglietta, Marcos

doi:10.1016/0026-2862(88)90062-3

Cited by 103 publications

(64 citation statements)

References 15 publications

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“…Furthermore they demonstrated that the change of intensity of reflected light was highly correlated with changes of local blood flow measured in the same tissue by laser-Doppler flowmetry. Thus it is highly likely that the spontaneous optical signal recorded by Mayhew et al, and in the present study results from vasomotion, a 0.1-Hz oscillation of local cerebral and somatic blood flow that has been widely reported (Dirnagl et al 1989;Fagrell et al 1980;Golanov et al 1994;Meyer et al 1988;Morita-Tsuzuki et al 1992).…”

Section: Spontaneous Optical Signalssupporting

confidence: 58%

Spontaneous and Stimulus-Evoked Intrinsic Optical Signals in Primary Auditory Cortex of the Cat

Spitzer

Calford

Clarey

et al. 2001

Journal of Neurophysiology

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. Spontaneous and stimulus-evoked intrinsic optical signals in primary auditory cortex of the cat. J Neurophysiol 85: [1283][1284][1285][1286][1287][1288][1289][1290][1291][1292][1293][1294][1295][1296][1297][1298] 2001. Spontaneous and tone-evoked changes in light reflectance were recorded from primary auditory cortex (A1) of anesthetized cats (barbiturate induction, ketamine maintenance). Spontaneous 0.1-Hz oscillations of reflectance of 540-and 690-nm light were recorded in quiet. Stimulation with tone pips evoked localized reflectance decreases at 540 nm in 3/10 cats. The distribution of patches "activated" by tones of different frequencies reflected the known tonotopic organization of auditory cortex. Stimulus-evoked reflectance changes at 690 nm were observed in 9/10 cats but lacked stimulus-dependent topography. In two experiments, stimulus-evoked optical signals at 540 nm were compared with multiunit responses to the same stimuli recorded at multiple sites. A significant correlation (P Ͻ 0.05) between magnitude of reflectance decrease and multiunit response strength was evident in only one of five stimulus conditions in each experiment. There was no significant correlation when data were pooled across all stimulus conditions in either experiment. In one experiment, the spatial distribution of activated patches, evident in records of spontaneous activity at 540 nm, was similar to that of patches activated by tonal stimuli. These results suggest that local cerebral blood volume changes reflect the gross tonotopic organization of A1 but are not restricted to the sites of spiking neurons.

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Section: Spontaneous Optical Signalssupporting

confidence: 58%

Spontaneous and Stimulus-Evoked Intrinsic Optical Signals in Primary Auditory Cortex of the Cat

Spitzer

Calford

Clarey

et al. 2001

Journal of Neurophysiology

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“…Spontaneous rhythmic oscillations in vessel diameter are known as vasomotion and occur primarily in small arteries and arterioles (Bertuglia et al, 1996;Colantuoni et al, 1984Colantuoni et al, , 1990Jackson et al, 1991;Meyer et al, 1988;Meyer & Intaglietta, 1987;Schmidt et al, 1993;Slaaf et al, 1987;Wiedeman, 1955). Generally, the frequencies of the oscillations are in the range 3-30 min −1 and the peak-peak amplitudes are large, 50-100% or more of the mean diameter (Tuma et al, 2008).…”

Section: The Phenomenon Of Vasomotionmentioning

confidence: 99%

Spontaneous oscillations in a model for active control of microvessel diameters

Arciero

Secomb²

2011

Mathematical Medicine and Biology

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A new theory is presented for the origin of spontaneous oscillations in blood vessel diameters that are observed experimentally in the microcirculation. These oscillations, known as vasomotion, involve timevarying contractions of the vascular smooth muscle in the walls of arterioles. It is shown that such oscillations can arise as a result of interactions between the mechanics of the vessel wall and the dynamics of the active contraction of smooth muscle cells in response to circumferential tension in the wall. A theoretical model is developed in which the diameter and the degree of activation in a vessel are dynamic variables. The model includes effects of wall shear stress and oxygen-dependent metabolic signals on smooth muscle activation and is applied to a single vessel and to simplified network structures. The model equations predict limit cycle oscillations for certain ranges of parameters such as wall shear stress, arterial pressure and oxygen consumption rate. Predicted characteristics of the oscillations, including their sensitivity to arterial pressure, are consistent with experimental observations.

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Section: Introductionsupporting

confidence: 84%

“…They showed five distinct frequency ranges of fluctuation due to the pulsatile cardiac cycle (about 0.6~2.3Hz), the respiratory-dependent oscillation (about 0.2~0.6Hz), the intrinsic myogenic activity of smooth muscle in vessels (about 0.06~0.2Hz), the arteriolar vasomotion (about 0.02~0.06Hz) and metabolic activity (about 0.009~0.02Hz). Some similar studies in estimation the microvascular oscillations of muscle also shown a similar dynamics with the above researches [4,5].However, only a few studies investigated the microvascular oscillations of internal organs by LDF [6] or by other methods [7]. We had developed a fast LDF method to estimate the pulsatile-related oscillation (0.5 ~20Hz) on the renal cortex of rats [8].…”

mentioning

confidence: 55%

Wavelet-based fluctuation analysis of laser Doppler blood flux on renal cortex in rats

Chao

Jan

Huang

et al.

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-Fluctuations of peripheral blood flux are related to its physiological or pathological condition. The oscillations of skin and muscle are well studied. Due to hard to install the probe, fewer studies about the oscillation of fluctuations of peripheral blood flux on internal organ are investigated. In this study, using a fast Laser-Doppler flowmetry (LDF) with a signal fiber probe, we measured the renal cortical flux (RCF) and abdominal aortic blood pressure (AABP) simultaneously in rats. With a c ontinuous wavelet transform, we analyzed the fluctuations of RCF and estimate their weights on RCF. Keywords -Wavelet, Laser Doppler Flowmetry, Renal Cortex, Blood Flux I. INTRODUCTIONStudies of the human skin microvascular oscillations had been done by Laser-Doppler flowmetry (LDF) in the past two decades [1,2,3]. They showed five distinct frequency ranges of fluctuation due to the pulsatile cardiac cycle (about 0.6~2.3Hz), the respiratory-dependent oscillation (about 0.2~0.6Hz), the intrinsic myogenic activity of smooth muscle in vessels (about 0.06~0.2Hz), the arteriolar vasomotion (about 0.02~0.06Hz) and metabolic activity (about 0.009~0.02Hz). Some similar studies in estimation the microvascular oscillations of muscle also shown a similar dynamics with the above researches [4,5].However, only a few studies investigated the microvascular oscillations of internal organs by LDF [6] or by other methods [7]. We had developed a fast LDF method to estimate the pulsatile-related oscillation (0.5 ~20Hz) on the renal cortex of rats [8]. With this method, we can also estimate the wide range spectrum (0.01~10Hz) of renal cortical flux oscillation.In this study, the object is to develop a methodology in order to estimate the wide range oscillation (0.01~10Hz) of microcircular flux on the renal cortex. We use a LDF with a signal fiber probe to measure the renal cortical flux in rats and analyze the fluctuations with time by a continuous wavelet transform (CWT). II. METHODOLOGY Animal Preparation and Experimental Setup3 male WKY rats, weighting from 250 to 350 g, were anesthetized with Urethane (300mg/kg, ip). The rat was then placed on an operation table with a heated pad to keep the body temperature. Anesthesia was maintained by additional doses of anesthetics as required. The polyethylene tube (PE 10, Becton-Dickinson, USA) was inserted from the iliac artery into the abdominal aorta of the rat with a catheter-tip pressure transducer (P10EZ, Viggo-Spectramed, USA) to measure AABP.Laser Doppler Flowmetry (MBF3, Moor Instruments Ltd., England) was used for the measurement; its time constant was set to 0.05 second and its cut-off frequency was 14.9 kHz. MBF3 samples the analogue signal with a 40Hz sampling rate and then converts it into analogue output. An optical fiber probe (P10M+P17, plastic fiber 500µm O.D., Moor Instruments Ltd.) was calibrated by the calibration flux standard (Moor Instruments Ltd.) to ensure its stability and performance. Experiments and Data acquisitionThe left kidney was exposed from the dorsal s...

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Vasomotion patterns in skeletal muscle arterioles during changes in arterial pressure

Cited by 103 publications

References 15 publications

Spontaneous and Stimulus-Evoked Intrinsic Optical Signals in Primary Auditory Cortex of the Cat

Spontaneous and Stimulus-Evoked Intrinsic Optical Signals in Primary Auditory Cortex of the Cat

Spontaneous oscillations in a model for active control of microvessel diameters

Wavelet-based fluctuation analysis of laser Doppler blood flux on renal cortex in rats

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