Of Mice and Men - Universality and Breakdown of Behavioral Organization
Of Mice and Men - Universality and Breakdown of Behavioral Organization
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DOI：
10.1371/journal.pone.0002050
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发表时间：
2008-04-30
期刊：
影响因子：
3.7
通讯作者：
Yamamoto, Yoshiharu
中科院分区：
文献类型：
--
作者：
Nakamura, Toru;Takumi, Toru;Yamamoto, Yoshiharu
由于缺乏具有客观测量的适当测定系统，精神或认知脑功能以及异常精神疾病对它们的影响难以通过分子生物学技术接近。因此，我们使用客观标准研究行为组织的规律，特别是休息期和活动期如何在日常生活中交织在一起，并首次发现相同的规律适用于受日常生活完全复杂性影响的健康人，以及受最大环境限制的野生型小鼠。我们发现，活动期持续时间与体力活动计数连续高于预定义的阈值，当重新调整与个人的手段，遵循一个普遍的拉伸指数（伽马型）累积分布，而低于阈值的休息期持续时间服从一个普遍的幂律累积分布与相同的参数值为两种哺乳动物物种。此外，通过分析消除了生物钟基因（Period2）的小鼠和患有重度抑郁症的人类的行为组织，我们发现在这两种情况下，静息期持续时间的参数值（幂律标度指数）显着降低。通过客观测量揭示的小鼠和人类行为组织的这种普遍性和分解，预计将有助于理解神经行为疾病（包括抑郁症）的病理生理学的分子基础，并为制定一系列神经精神行为障碍模型奠定基础。
Mental or cognitive brain functions, and the effect on them of abnormal psychiatric diseases, are difficult to approach through molecular biological techniques due to the lack of appropriate assay systems with objective measures. We therefore study laws of behavioral organization, specifically how resting and active periods are interwoven throughout daily life, using objective criteria, and first discover that identical laws hold both for healthy humans subject to the full complexity of daily life, and wild-type mice subject to maximum environmental constraints. We find that active period durations with physical activity counts successively above a predefined threshold, when rescaled with individual means, follow a universal stretched exponential (gamma-type) cumulative distribution, while resting period durations below the threshold obey a universal power-law cumulative distribution with identical parameter values for both of the mammalian species. Further, by analyzing the behavioral organization of mice with a circadian clock gene (Period2) eliminated, and humans suffering from major depressive disorders, we find significantly lower parameter values (power-law scaling exponents) for the resting period durations in both these cases. Such a universality and breakdown of the behavioral organization of mice and humans, revealed through objective measures, is expected to facilitate the understanding of the molecular basis of the pathophysiology of neurobehavioral diseases, including depression, and lay the foundations for formulating a range of neuropsychiatric behavioral disorder models.