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整合行为与心血管反应:姿势与运动。I. 静态分析。

Integrating behavior and cardiovascular responses: posture and locomotion. I. Static analysis.

作者信息

Smith O A, Astley C A, Spelman F A, Golanov E V, Chalyan V G, Bowden D M, Taylor D J

机构信息

Department of Physiology and Biophysics, University of Washington, Seattle 98195.

出版信息

Am J Physiol. 1993 Dec;265(6 Pt 2):R1458-68. doi: 10.1152/ajpregu.1993.265.6.R1458.

Abstract

Heart rate, arterial blood pressure, and renal and mesenteric or femoral blood flow were telemetered from 11 Papio hamadryas in an untethered free-ranging situation. The animals' behavior was recorded on videotape, and the cardiovascular (CV) data were recorded on the audio channels of the tape. The behavior was coded, and the codes were linked to the CV data via a time-code generator and computer control. The CV data were digitized into 1-s intervals, and the static relations between CV measures and the postures/locomotions (P/Ls) associated with the behavior were analyzed. The total frequency distributions for heart rate, blood pressure, and renal conductance approximated Gaussian distributions, whereas femoral conductance was positively skewed. The distribution for renal conductance suggested that during normal waking conditions the kidney is not maximally dilated and may increase or decrease its blood flow. All distributions were highly influenced by the Sit category, which occupied 80% of the total time. The CV measures for all P/Ls had wide ranges, and the CV values associated with each P/L overlapped those for the other P/Ls. The heart rate and renal conductance associated with the various P/Ls showed the largest deviations from the grand means and therefore contributed the most to the ability to discriminate one P/L from another. Blood pressure varied little from one P/L to another. The patterns of CV variables served to distinguish particular P/Ls very effectively. The frequency distributions were separated best when they were parceled on the basis of the intensity of behavior associated with a particular P/L. These variations in intensity were the major cause of the overlaps in the frequency distributions associated with P/Ls.

摘要

在无束缚的自由活动状态下,通过遥测技术记录了11只阿拉伯狒狒的心率、动脉血压以及肾、肠系膜和股部的血流情况。动物的行为被录制在录像带上,心血管(CV)数据则记录在录像带的音频通道上。对行为进行编码,并通过时间码发生器和计算机控制将编码与CV数据关联起来。CV数据以1秒的间隔进行数字化处理,并分析了CV测量值与行为相关的姿势/运动(P/Ls)之间的静态关系。心率、血压和肾电导的总频率分布近似于高斯分布,而股电导呈正偏态分布。肾电导的分布表明,在正常清醒状态下,肾脏并未处于最大扩张状态,其血流可能会增加或减少。所有分布都受到坐姿类别(Sit)的高度影响,坐姿类别占总时间的80%。所有P/Ls的CV测量值范围很广,且与每个P/L相关的CV值与其他P/Ls的CV值重叠。与各种P/Ls相关的心率和肾电导与总体均值的偏差最大,因此对区分不同P/Ls的能力贡献最大。不同P/Ls之间的血压变化很小。CV变量的模式能够非常有效地区分特定的P/Ls。当根据与特定P/L相关的行为强度对频率分布进行划分时,它们的分离效果最佳。这些强度变化是与P/Ls相关的频率分布重叠的主要原因。

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