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首页> 外文期刊>Neuroscience and Neuroeconomics >Measuring entropy in functional neuroscience: pathophysiological and clinical applications
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Measuring entropy in functional neuroscience: pathophysiological and clinical applications

机译：测量功能神经科学中的熵：病理生理学和临床应用

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A biological system obtains information, reacts to stimuli, and modifies its behavior to adapt to the environment via complex control systems. A healthy system is expected to adequately adapt to a variety of changes. Physiological signals obtained from a healthy individual should contain rich information and complex behaviors. Entropy-derived measures have been used to access the complexity of the physiological signals. Aging or diseased status usually shows reduced entropy values and loss of complexity within the dynamics of physiological output. In this article, we aim to review the available evidence related to the pathophysiological nature of complexity and the clinical applications of entropy-derived measures in varied neurological disorders.
机译：生物系统获取信息，对刺激作出反应并通过复杂的控制系统修改其行为以适应环境。一个健康的系统有望充分适应各种变化。从健康个体获得的生理信号应包含丰富的信息和复杂的行为。熵衍生的量度已被用于访问生理信号的复杂度。衰老或患病状态通常显示出降低的熵值和生理输出动态范围内的复杂性损失。在本文中，我们旨在审查与复杂性的病理生理性质以及各种神经疾病中熵衍生措施的临床应用相关的可用证据。

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