Analysis of Viscoelastic Properties of Wrist Joint for Quantification of Parkinsonian Rigidity

This study aims to analyze viscoelastic properties of the wrist in patients with Parkinson's disease (PD) in comparison with the clinical score of severity. Forty-five patients with PD and 12 healthy volunteers participated in this study. Severity of rigidity at the wrist was rated by a neurologist just before the experiment. Wrist joint torque resistive to the imposed movement was measured. Three different models, (identical in structure, only different in the number of parameters for extension and flexion phases) were used in identification of viscoelastic properties: 1) one damping constant and one spring constant throughout all phases, 2) two damping constants for each phase and one spring constant throughout all phases, and 3) two damping constants and two spring constants for each phase. Normalized work and impulse suggested in the literature were also calculated. Spring constants of different models and phases showed comparable correlation with rigidity score ( r=0.68-0.73). In terms of the correlation of damping constant with clinical rigidity score, model 1 ( r = 0.90) was better than models 2 and 3 ( r=0.59 - 0.71). These results suggest that the clinical rigidity score is better represented by the mean viscosity during both flexion and extension. In models with two dampers (model 2 and 3), the damping constant was greater during extension than flexion in patients ( p <; 0.001), in contrast that there was no phase difference in normal subjects. This suggests that in contrast with normal subjects, phase-dependent viscosity may be an inherent feature of PD. Although work and impulse were correlated with clinical rigidity score ( r = 0.11 - 0.84), they could not represent the phase-dependent rigidity inherent in PD. In conclusion, the viscosity of model 1 would be appropriate for quantification of clinical ratings of rigidity and that of model 2 for distinction of PD and also for investigation of phase-dependent characteristics in parkinsonian rigidity.

[1]  D. Backus Measurement of Rigidity in Parkinsonʼs Disease , 1997 .

[2]  I. Hwang,et al.  Quantitative analysis of the velocity related pathophysiology of spasticity and rigidity in the elbow flexors , 2002, Journal of neurology, neurosurgery, and psychiatry.

[3]  J C Rothwell,et al.  The behaviour of the long-latency stretch reflex in patients with Parkinson's disease , 1983, Journal of neurology, neurosurgery, and psychiatry.

[4]  Behrooz Sepehri,et al.  Quantification of Rigidity in Parkinson’s Disease , 2007, Annals of Biomedical Engineering.

[5]  D. Vaillancourt,et al.  Effects of STN DBS on Rigidity in Parkinson's Disease , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[6]  A. Joseph Threlkeld,et al.  Analysis of interactive effect of stretch reflex and shortening reaction on rigidity in Parkinson’s disease , 2009, Clinical Neurophysiology.

[7]  J Quintern,et al.  Electrophysiological studies of gait in spasticity and rigidity. Evidence that altered mechanical properties of muscle contribute to hypertonia. , 1981, Brain : a journal of neurology.

[8]  C. Marsden The mysterious motor function of the basal ganglia , 1982, Neurology.

[9]  W. Gibb,et al.  The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson's disease. , 1988, Journal of neurology, neurosurgery, and psychiatry.

[10]  W. Z. Rymer,et al.  A comparison of the effects of imposed extension and flexion movements on Parkinsonian rigidity , 2006, Clinical Neurophysiology.

[11]  D. Burke,et al.  The response to muscle stretch and shortening in Parkinsonian rigidity. , 1972, Brain : a journal of neurology.

[12]  K. Akazawa,et al.  A novel method for systematic analysis of rigidity in Parkinson's disease , 2009, Movement disorders : official journal of the Movement Disorder Society.

[13]  W. Rymer,et al.  The role of shortening reaction in mediating rigidity in Parkinson’s disease , 2004, Experimental Brain Research.

[14]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[15]  A. Prochazka,et al.  Quantification of the UPDRS rigidity scale , 2001, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[16]  Chuen-Tsai Sun,et al.  Neuro-fuzzy And Soft Computing: A Computational Approach To Learning And Machine Intelligence [Books in Brief] , 1997, IEEE Transactions on Neural Networks.

[17]  Margaret K.Y. Mak,et al.  Quantitative measurement of trunk rigidity in parkinsonian patients , 2007, Journal of Neurology.

[18]  J A Burne,et al.  Objective quantification of resting and activated parkinsonian rigidity: A comparison of angular impulse and work scores , 2000, Movement disorders : official journal of the Movement Disorder Society.

[19]  Mark Hallett,et al.  Parkinson revisited: pathophysiology of motor signs. , 2003, Advances in neurology.

[20]  Thomas Eggert,et al.  22. Objective measurement of muscle rigidity in parkinsonian patients treated with subthalamic stimulation , 2008, Clinical Neurophysiology.

[21]  R. Lee,et al.  Evidence for abnormal long-loop reflexes in rigid Parkinsonian patients , 1975, Brain Research.