Measuring entropy in functional neuroscience: pathophysiological and clinical applications

Chaur-Jong Hu, Chen-Chih Chung, Jiunn-Horng Kang
<span title="">2016</span> <i title="Dove Medical Press Ltd."> <a target="_blank" rel="noopener" href="" style="color: black;">Neuroscience and Neuroeconomics</a> </i> &nbsp;
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
more &raquo; ... mplexity 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.2147/nan.s73471</a> <a target="_blank" rel="external noopener" href="">fatcat:gcfts3zq55dxfpa7k33a2l77ua</a> </span>
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