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.

Original languageEnglish
Pages (from-to)45-53
Number of pages9
JournalNeuroscience and Neuroeconomics
Publication statusPublished - Jul 26 2016


  • Complexity
  • Electroencephalography
  • Entropy
  • Nerve system
  • Pathophysiology

ASJC Scopus subject areas

  • General Neuroscience
  • Neuropsychology and Physiological Psychology


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