Failure of Arm Movement Control in Stroke Patients, Characterized by Loss of Complexity

PLoS One. 2015 Nov 4;10(11):e0141996. doi: 10.1371/journal.pone.0141996. eCollection 2015.

Abstract

We study the mechanism of human arm-posture control by means of nonlinear dynamics and quantitative time series analysis methods. Utilizing linear and nonlinear measures in combination, we find that pathological tremors emerge in patient dynamics and serve as a main feature discriminating between normal and patient groups. The deterministic structure accompanied with loss of complexity inherent in the tremor dynamics is also revealed. To probe the underlying mechanism of the arm-posture dynamics, we further analyze the coupling patterns between joints and components, and discuss their roles in breaking of the organization structure. As a result, we elucidate the mechanisms in the arm-posture dynamics of normal subjects responding to the gravitational force and for the reduction of the dynamic degrees of freedom in the patient dynamics. This study provides an integrated framework for the origin of the loss of complexity in the dynamics of patients as well as the coupling structure in the arm-posture dynamics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Arm / physiopathology*
  • Biomechanical Phenomena
  • Case-Control Studies
  • Humans
  • Movement
  • Posture
  • Stroke / physiopathology*

Grants and funding

This work was supported by the National Research Foundation of Korea, through grants 2012R1A2A4A01004419 and 2011-0012331 (MYC), 2014R1A6A3A01059467 (SG), and 2010-0021103 (SK). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.