Lutek K, Standen E M
Department of Biology, University of Ottawa, 30 Marie-Curie Private, Ottawa, ON K1N 6N5, Canada.
Integr Org Biol. 2021 Aug 10;3(1):obab024. doi: 10.1093/iob/obab024. eCollection 2021.
Locomotion relies on the successful integration of sensory information to adjust brain commands and basic motor rhythms created by central pattern generators. It is not clearly understood how altering the sensory environment impacts control of locomotion. In an aquatic environment, mechanical sensory feedback to the animal can be readily altered by adjusting water viscosity. Computer modeling of fish swimming systems shows that, without sensory feedback, high viscosity systems dampen kinematic output despite similar motor control input. We recorded muscle activity and kinematics of six in four different viscosities of water from 1 cP (normal water) to 40 cP. In high viscosity, exhibit increased body curvature, body wave speed, and body and pectoral fin frequency during swimming. These changes are the result of increased muscle activation intensity and maintain voluntary swimming speed. Unlike the sensory-deprived model, intact sensory feedback allows fish to adjust swimming motor control and kinematic output in high viscous water but maintain typical swimming coordination.
运动依赖于感觉信息的成功整合,以调整大脑指令和由中枢模式发生器产生的基本运动节律。目前尚不清楚改变感觉环境如何影响运动控制。在水生环境中,通过调节水的粘度可以很容易地改变对动物的机械感觉反馈。鱼类游泳系统的计算机建模表明,在没有感觉反馈的情况下,尽管运动控制输入相似,但高粘度系统会抑制运动输出。我们记录了六条鱼在四种不同粘度(从1厘泊(正常水)到40厘泊)的水中的肌肉活动和运动学数据。在高粘度水中,鱼在游泳时身体弯曲度、身体波动速度以及身体和胸鳍频率增加。这些变化是肌肉激活强度增加的结果,并维持了自主游泳速度。与感觉剥夺模型不同,完整的感觉反馈使鱼能够在高粘性水中调整游泳运动控制和运动输出,但保持典型的游泳协调性。