Literature DB >> 12567229

A coupled oscillator model of disordered interlimb coordination in patients with Parkinson's disease.

Yoshiyuki Asai1, Taishin Nomura, Shunsuke Sato, Akira Tamaki, Yoshimi Matsuo, Isao Mizukura, Kazuo Abe.   

Abstract

Coordination between the left and right limbs during cyclic movements, which can be characterized by the amplitude of each limb's oscillatory movement and relative phase, is impaired in patients with Parkinson's disease (PD). A pedaling exercise on an ergometer in a recent clinical study revealed several types of coordination disorder in PD patients. These include an irregular and burst-like amplitude modulation with intermittent changes in its relative phase, a typical sign of chaotic behavior in nonlinear dynamical systems. This clinical observation leads us to hypothesize that emergence of the rhythmic motor behaviors might be concerned with nonlinearity of an underlying dynamical system. In order to gain insight into this hypothesis, we consider a simple hard-wired central pattern generator model consisting of two identical oscillators connected by reciprocal inhibition. In the model, each oscillator acts as a neural half-center controlling movement of a single limb, either left or right, and receives a control input modeling a flow of descending signals from higher motor centers. When these two control inputs are tonic-constant and identical, the model has left-right symmetry and basically exhibits ordered coordination with an alternating periodic oscillation. We show that, depending on the intensities of these two control inputs and on the difference between them that introduces asymmetry into the model, the model can reproduce several behaviors observed in the clinical study. Bifurcation analysis of the model clarifies two possible mechanisms for the generation of disordered coordination in the model: one is the spontaneous symmetry-breaking bifurcation in the model with the left-right symmetry. The other is related to the degree of asymmetry reflecting the difference between the two control inputs. Finally, clinical implications by the model's dynamics are briefly discussed.

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Year:  2003        PMID: 12567229     DOI: 10.1007/s00422-002-0371-9

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  6 in total

1.  Variability in cadence during forced cycling predicts motor improvement in individuals with Parkinson's disease.

Authors:  Angela L Ridgel; Hassan Mohammadi Abdar; Jay L Alberts; Fred M Discenzo; Kenneth A Loparo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2012-10-24       Impact factor: 3.802

2.  A dynamical systems analysis of afferent control in a neuromechanical model of locomotion: II. Phase asymmetry.

Authors:  Lucy E Spardy; Sergey N Markin; Natalia A Shevtsova; Boris I Prilutsky; Ilya A Rybak; Jonathan E Rubin
Journal:  J Neural Eng       Date:  2011-11-04       Impact factor: 5.379

3.  Intralimb and Interlimb Incoordination: Comparative Study between Patients with Parkinsonism and with Cerebellar Ataxia.

Authors:  Yoshimi Matsuo; Yoshiyuki Asai; Taishin Nomura; Shunsuke Sato; Satoru Inoue; Isao Mizukura; Toshihiko Yoneda; Akinori Miki; Saburo Sakoda; Kazuo Abe
Journal:  J Jpn Phys Ther Assoc       Date:  2005

4.  Noisy interlimb coordination can be a main cause of freezing of gait in patients with little to no parkinsonism.

Authors:  Takao Tanahashi; Tomohisa Yamamoto; Takuyuki Endo; Harutoshi Fujimura; Masaru Yokoe; Hideki Mochizuki; Taishin Nomura; Saburo Sakoda
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

5.  Auditory Cue Based on the Golden Ratio Can Improve Gait Patterns in People with Parkinson's Disease.

Authors:  Valeria Belluscio; Marco Iosa; Giuseppe Vannozzi; Stefano Paravati; Antonella Peppe
Journal:  Sensors (Basel)       Date:  2021-01-29       Impact factor: 3.576

6.  Balance asymmetry in Parkinson's disease and its contribution to freezing of gait.

Authors:  Tjitske A Boonstra; Jeroen P P van Vugt; Herman van der Kooij; Bastiaan R Bloem
Journal:  PLoS One       Date:  2014-07-17       Impact factor: 3.240

  6 in total

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