alexa Non-Linear Techniques Reveal Adaptive and Maladaptive Postural Control Dynamics in Persons with Multiple Sclerosis
ISSN: 2376-0389

Journal of Multiple Sclerosis
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Commentary

Non-Linear Techniques Reveal Adaptive and Maladaptive Postural Control Dynamics in Persons with Multiple Sclerosis

Michael AB1,2*, Scott WD1 and Van Emmerik REA1,2

1Department of Kinesiology, University of Massachusetts Amherst, Amherst, MA 01003, USA

2Center for Personalized Health Monitoring, Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA

*Corresponding Author:
Michael A Busa
University of Massachusetts Amherst 30 Eastman Lane
Amherst, MA 01003, USA
Tel: 413-545-1332
E-mail: [email protected]

Received April 23, 2016; Accepted May 23, 2016; Published May 30, 2016

Citation: Michael AB, Scott WD, Van Emmerik REA (2016) Non-Linear Techniques Reveal Adaptive and Maladaptive Postural Control Dynamics in Persons with Multiple Sclerosis. J Mult Scler (Foster City) 3:177. doi:10.4172/2376-0389.1000177

Copyright: © 2016 Michael AB, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Abstract

In this commentary we discuss how complex and nonlinear analysis methods, multiscale entropy (MSE) and detrended fluctuation analysis (DFA) can provide insights into postural changes in people with multiple sclerosis (MS). Here we highlight key methodological considerations for both MSE and DFA, specifically discuss how MS and aging impact the complexity and adaptability of postural control. As MSE and DFA are both sensitive to technical considerations, we directly address how changes in signal processing and equation parameterization impact outcomes and how these may in turn influence the interpretation of results. Furthermore, we identify how MSE and DFA identify different features of disease progression and how the associated breakdowns in physiological function manifest as postural fluctuation changes within and between different time scales. Finally, we propose a framework that combines these techniques to identify the adaptive and maladaptive changes that accompany MS progression.

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