Department of Health and Leisure Management, Yuanpei University of Medical Technology, Hsinchu, Taiwan; Sleep Research Center, National Yang-Ming University, Taipei, Taiwan.
Sleep Research Center, National Yang-Ming University, Taipei, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan; Brain Research Center, National Yang-Ming University, Taipei, Taiwan; Department of Education and Research, Taipei City Hospital, Taipei, Taiwan; Digital Medicine Center, National Yang-Ming University, Taipei, Taiwan.
Behav Brain Res. 2020 Jul 1;389:112619. doi: 10.1016/j.bbr.2020.112619. Epub 2020 Apr 27.
We attempted to establish a novel parameter of behaviour consistency to help determine the effect of age on physical activity. Using the speed of movement to quantify behaviour might not be sufficient to determine this effect. The slowing of motor activities that occurs with aging is related to the decline of the aging brain. Previous studies have found different running-related hippocampal theta rhythm responses in the aging and exercise model. Therefore, we hypothesized that a familiarity with the environment and physical strength affect behavioural consistency in rats during running exercises. For this study, we used a treadmill and 30-minute running test at constant speeds and compared changes in the triaxial accelerometer and hippocampal theta rhythm between adult and middle-aged rats. No significant differences in RR intervals, mean cross-correlations (MCCs), or the proportion of good correlation coefficient (PGCC) were observed between adult and middle-aged rats in awake states before running on the treadmill. The root mean square (RMS) of the triaxial acceleration vectors in middle-aged rats was higher than that in adult rats. In the treadmill running tests, the RMS observed in middle-aged rats was significantly lower than that observed in adult rats. MCC and PGCC, which indicate movement consistencies, were significantly higher in middle-aged rats than they were in adult rats during the entire running test. However, only the RMS of the adult rats showed a negative correlation with exercise duration. Both MCC and PGCC were positively correlated with exercise duration. By contrast, a similar phenomenon was not found in the changes or differences in hippocampal theta rhythms between these two groups. Therefore, we consider that the MCC and PGCC could distinguish age-related movement differences and indicate coordination/adaptation during exercise. Changes in physical activity and alterations in the hippocampal theta rhythm were not different between the groups.
我们试图建立一种新的行为一致性参数，以帮助确定年龄对体力活动的影响。使用运动速度来量化行为可能不足以确定这种影响。随着年龄的增长，运动活动的减缓与衰老大脑的衰退有关。以前的研究发现，在衰老和运动模型中，与跑步相关的海马θ节律反应不同。因此，我们假设对环境的熟悉程度和体力会影响跑步过程中大鼠的行为一致性。在这项研究中，我们使用跑步机和 30 分钟的恒速跑步测试，比较成年和中年大鼠在跑步前清醒状态下三轴加速度计和海马θ节律的变化。在跑步机上跑步之前，成年和中年大鼠清醒状态下的 RR 间期、平均互相关系数（MCC）或良好相关系数比例（PGCC）均无显著差异。中年大鼠三轴加速度矢量的均方根（RMS）高于成年大鼠。在跑步机跑步测试中，中年大鼠的 RMS 明显低于成年大鼠。在整个跑步测试过程中，MCC 和 PGCC 指示运动一致性，中年大鼠明显高于成年大鼠。然而，只有成年大鼠的 RMS 与运动持续时间呈负相关。MCC 和 PGCC 均与运动持续时间呈正相关。相比之下，在这两组之间，海马θ节律的变化或差异中没有发现类似的现象。因此，我们认为 MCC 和 PGCC 可以区分与年龄相关的运动差异，并表明运动过程中的协调性/适应性。两组之间的体力活动变化和海马θ节律的改变没有差异。
