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Measuring entropy in functional neuroscience: pathophysiological and clinical applications

Authors Chung C, Kang J, Hu C

Received 1 August 2015

Accepted for publication 6 April 2016

Published 26 July 2016 Volume 2016:5 Pages 45—53


Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor SH Annabel Chen

Chen-Chih Chung,1 Jiunn-Horng Kang,2,3 Chaur-Jong Hu,1

1Department of Neurology, Shuang Ho Hospital, College of Medicine, Taipei Medical University, New Taipei, 2Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, 3Department of Physical Medicine and Rehabilitation, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, Republic of China

Abstract: 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.

Keywords: complexity, entropy, nerve system, electroencephalography, pathophysiology

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