Shoulder motor performance assessment in the sagittal plane in children with hemiplegia during single joint pointing tasks

详细信息    查看全文

• 作者：Domenico Formica (1)
  Maurizio Petrarca (2)
  Stefano Rossi (2) (3)
  Loredana Zollo (1)
  Eugenio Guglielmelli (1)
  Paolo Cappa (2) (4)
  
  1. Laboratory of Biomedical Robotics and Biomicrosystems ; Universit脿 Campus Bio-Medico di Roma ; via Alvaro del Portillo ; 21-00128 ; Rome ; Italy
  2. MARLab Movement Analysis and Robotics Laboratory - Neuroscience and Neurorehabilitation Department ; 鈥淏ambino Ges霉鈥?Children鈥檚 Hospital ; Via Torre di Palidoro ; Passoscuro (Fiumicino) ; 00050 ; Rome ; Italy
  3. DEIM Department of Economics and Management 鈥?Industrial Engineering ; University of Tuscia ; Via del Paradiso 47 ; 01100 ; Viterbo ; Italy
  4. Department of Mechanical and Aerospace Engineering ; 鈥淪apienza鈥?University of Rome ; Via Eudossiana ; 18-00184 ; Rome ; Italy
  
• 关键词：Motor assessment ; Hemiplegia ; Cerebral palsy ; Kinematics ; Biomechanics
• 刊名：BioMedical Engineering OnLine
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：13
• 期：1
• 全文大小：1,285 KB
• 参考文献：1. Gentilucci, M, Benuzzi, F, Bertolani, L, Gangitano, M (2001) Visual illusions and the control of children arm movements. Neuropsychologia 39: pp. 132-139 CrossRef
  2. Bernstein, N (1967) The co-ordination and regulation of movements. Pergamon Press, Oxford
  3. Turvey, MT (2007) Action and perception at the level of synergies. Hum Mov Sci 26: pp. 657-97 CrossRef
  4. Papaxanthis, C, Pozzo, T, Schieppati, M (2003) Trajectories of arm pointing movements on the sagittal plane vary with both direction and speed. Exp Brain Res 148: pp. 498-503
  5. Nelson, WL (1983) Physical principles for economies of skilled movements. Biol Cybern 46: pp. 135-147 CrossRef
  6. Hasan, Z (1986) Optimized movement trajectories and joint stiffness in unperturbed, inertially loaded movements. Biol Cybern 53: pp. 373-382 CrossRef
  7. Flash, T, Hogan, N (1985) The coordination of arm movements: an experimentally confirmed mathematical model. J Neurosci 5: pp. 1688-1703
  8. Uno, Y, Kawato, M, Suzuki, R (1989) Formation and control of optimal trajectory in human multijoint arm movement. Minimum torque-change model. Biol Cybern 61: pp. 89-101 CrossRef
  9. Harris, CM, Wolpert, DM (1998) Signal-dependent noise determines motor planning. Nature 394: pp. 780-784 CrossRef
  10. Latash, ML, Scholz, JP, Sch枚ner, G (2007) Toward a new theory of motor synergies. Mot Control 11: pp. 276-308
  11. Diedrichsen, J, Shadmehr, R, Ivry, RB (2010) The coordination of movement: optimal feedback control and beyond. Trends Cogn Sci 14: pp. 31-39 CrossRef
  12. Fitts, PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol 47: pp. 381-391 CrossRef
  13. Tweed, D, Vilis, T (1990) Geometric relations of eye position and velocity vectors during saccades. Vis Res 30: pp. 111-127 CrossRef
  14. Campolo, D, Formica, D, Keller, F, Guglielmelli, E (2010) Kinematic Analysis of the Human Wrist during Pointing Tasks. Exp Brain Res 201: pp. 561-573 CrossRef
  15. Viviani, P, Schneider, R (1991) A developmental study of the relationship between geometry and kinematics in drawing movements. J Exp Psychol 12: pp. 198-218
  16. Soechting, JF, Terzuolo, CA (1987) Organization of arm movements in three-dimensional space. Wrist motion is piecewise planar. Neuroscience 23: pp. 53-61 CrossRef
  17. Lacquaniti, F, Terzuolo, CA, Viviani, P (1983) The law relating kinematic and figural aspects of drawing movements. Acta Psychol 54: pp. 115-130 CrossRef
  18. Levin, MF (2000) Sensorimotor deficits in patients with central nervous system lesions: Explanations based on the 位 model of motor control. Hum Mov Sci 19: pp. 107-37 CrossRef
  19. Cirstea, MC, Levin, MF (2000) Compensatory strategies for reaching in stroke. Brain 123: pp. 940-953 CrossRef
  20. Velay, JL, Daffaure, V, Raphael, N, Benoit-Dubrocard, S (2001) Hemispheric asymmetry and interhemispheric transfer in pointing depend on the spatial components of the movement. Cortex 37: pp. 75-90 CrossRef
  21. Winter, DA (1984) Kinematic and kinetic patterns in human gait: variability and compensating effects. Hum Mov Sci 3: pp. 51-76 CrossRef
  22. Maynard, V, Bakheit, AMO, Oldham, J, Freeman, J (2003) Intra-rater and inter-rater reliability of gait measurements with CODA mpx30 motion analysis system. Gait Posture 17: pp. 59-67 CrossRef
  23. Winter, DA (1990) Biomechanics and motor control of human movement. John Wiley & Sons, New York (NY)
  24. Papaxanthis, C, Pozzo, T, McIntyre, J (2005) Kinematic and dynamic processes for the control of pointing movements in humans revealed by short-term exposure to microgravity. Neuroscience 135: pp. 371-383 CrossRef
  25. Papaxanthis, C, Pozzo, T, Popov, K, McIntyre, J (1998) Hand trajectories of vertical arm movements in one G and zero-G environments: Evidence for a central representation of gravitational force. Exp Brain Res 120: pp. 496-502 CrossRef
  26. Ajemian, R, Hogan, N (2010) Experimenting with Theoretical Motor Neuroscience. J Mot Behav 42: pp. 333-342 CrossRef
  27. Wolpert, DM, Diedrichsen, J, Flanagan, JR (2011) Principles of sensorimotor learning. Nat Rev Neurosci 12: pp. 739-751
  28. Rohrer, B, Fasoli, S, Krebs, HI, Hughes, R, Volpe, B, Frontera, WR, Stein, J, Hogan, N (2002) Movement smoothness changes during stroke recovery. J Neurosci 22: pp. 8297-8304
  29. Takada, K, Yashiro, K, Takagi, M (2006) Reliability and sensitivity of jerk-cost measurement for evaluating irregularity of chewing jaw movements. Physiol Meas 27: pp. 609-622 CrossRef
  30. Hogan, N (1984) An organizing principle for a class of voluntary movements. J Neurosci 4: pp. 2743-2754
  31. Hogan, N, Sternad, D (2009) Sensitivity of Smoothness Measures to Movement Duration, Amplitude, and Arrests. J Mot Behav 41: pp. 529-534 CrossRef
  32. Bastian, AJ, Martin, TA, Keating, JG, Thach, WT (1996) Cerebellar Ataxia: Abnormal Control of Interaction Torques Across Multiple Joints. J Neurophysiol 76: pp. 492-509
  
• 刊物类别：Engineering
• 出版者：BioMed Central
• ISSN：1475-925X

文摘

Background Pointing is a motor task extensively used during daily life activities and it requires complex visuo-motor transformation to select the appropriate movement strategy. The study of invariant characteristics of human movements has led to several theories on how the brain solves the redundancy problem, but the application of these theories on children affected by hemiplegia is limited. This study aims at giving a quantitative assessment of the shoulder motor behaviour in children with hemiplegia during pointing tasks. Methods Eight children with hemiplegia were involved in the study and were asked to perform movements on the sagittal plane with both arms, at low and high speed. Subject movements were recorded using an optoelectronic system; a 4-DOF model of children arm has been developed to calculate kinematic and dynamic variables. A set of evaluation indexes has been extracted in order to quantitatively assess whether and how children modify their motor control strategies when perform movements with the more affected or less affected arm. Results In low speed movements, no differences can be seen in terms of movement duration and peak velocity between the More Affected arm (MA) and the Less Affected arm (LA), as well as in the main characteristics of movement kinematics and dynamics. As regards fast movements, remarkable differences in terms of strategies of motor control can be observed: while movements with LA did not show any significant difference in Dimensionless Jerk Index (JI) and Dimensionless Torque-change Cost index (TC) between the elevation and lowering phases, suggesting that motor control optimization is similar for movements performed with or against gravity, movements with MA showed a statistically significant increase of both JI and TC during lowering phase. Conclusions Results suggest the presence of a different control strategy for fast movements in particular during lowering phase. Results suggest that motor control is not able to optimize Jerk and Torque-change cost functions in the same way when controls the two arms, suggesting that children with hemiplegia do not actively control MA lowering fast movements, in order to take advantage of the passive inertial body properties, rather than to attempt its optimal control.