Key result
Entropy-derived measures of physiological signals show reduced complexity in aging or diseased states and have clinical applications in varied neurological disorders.
This review highlights that aging and neurological diseases are associated with reduced entropy and loss of complexity in physiological signals.
Entropy measures may support neurological biomarker use; leaves open standardization and prospective validation before clinical adoption.
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.
No takes yet. Share an insight, caveat, or question.
Hu et al. (2016) conducted a review in Neurological disorders. Entropy-derived measures was evaluated. Entropy-derived measures of physiological signals show reduced complexity in aging or diseased states and have clinical applications in varied neurological disorders.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: