Quantization of Continuous Arm Movements in Humans with Brain Injury

Overview

Journal Proc Natl Acad Sci U S A

Specialty Science

Date 1999 Apr 14

PMID 10200316

Citations 90

Authors

H I Krebs

M L Aisen

B T Volpe

N Hogan

Affiliations

Soon will be listed here.

Abstract

Segmentation of apparently continuous movement has been reported for over a century by human movement researchers, but the existence of primitive submovements has never been proved. In 20 patients recovering from a single cerebral vascular accident (stroke), we identified the apparent submovements that composed a continuous arm motion in an unloaded task. Kinematic analysis demonstrated a submovement speed profile that was invariant across patients with different brain lesions and provided experimental verification of the detailed shape of primitive submovements. The submovement shape was unaffected by its peak speed, and to test further the invariance of shape with speed, we analyzed movement behavior in a patient with myoclonus. This patient occasionally made involuntary shock-like arm movements, which occurred near the maximum capacity of the neuromuscular system, exhibited speed profiles that were comparable to those identified in stroke patients, and were also independent of speed.

Citing Articles

The effect of gravity on hand spatio-temporal kinematic features during functional movements.

Bucchieri A, Tessari F, Buccelli S, Momi E, Laffranchi M, De Michieli L PLoS One. 2024; 19(12):e0310192.

PMID: 39739850 PMC: 11687672. DOI: 10.1371/journal.pone.0310192.

Kinematic descriptors of arm reaching movement are sensitive to hemisphere-specific immediate neuromodulatory effects of transcranial direct current stimulation post stroke.

Lowenthal-Raz J, Liebermann D, Friedman J, Soroker N Sci Rep. 2024; 14(1):11971.

PMID: 38796610 PMC: 11127956. DOI: 10.1038/s41598-024-62889-0.

Brownian processes in human motor control support descending neural velocity commands.

Tessari F, Hermus J, Sugimoto-Dimitrova R, Hogan N Sci Rep. 2024; 14(1):8341.

PMID: 38594312 PMC: 11004188. DOI: 10.1038/s41598-024-58380-5.

Dynamic primitives in constrained action: systematic changes in the zero-force trajectory.

Hermus J, Doeringer J, Sternad D, Hogan N J Neurophysiol. 2023; 131(1):1-15.

PMID: 37820017 PMC: 11286308. DOI: 10.1152/jn.00082.2023.

Learning to manipulate a whip with simple primitive actions - A simulation study.

Nah M, Krotov A, Russo M, Sternad D, Hogan N iScience. 2023; 26(8):107395.

PMID: 37554449 PMC: 10405071. DOI: 10.1016/j.isci.2023.107395.

References

von Hofsten C, Lindhagen K . Observations on the development of reaching for moving objects. J Exp Child Psychol. 1979; 28(1):158-73. DOI: 10.1016/0022-0965(79)90109-7. View

Hogan N . An organizing principle for a class of voluntary movements. J Neurosci. 1984; 4(11):2745-54. PMC: 6564718. View

Jagacinski R, Hartzell E, Ward S . Fitts' law as a function of system dynamics and target uncertainty. J Mot Behav. 1978; 10(2):123-31. DOI: 10.1080/00222895.1978.10735145. View

Flash T, Hogan N . The coordination of arm movements: an experimentally confirmed mathematical model. J Neurosci. 1985; 5(7):1688-703. PMC: 6565116. View

Flash T, Henis E . Arm trajectory modifications during reaching towards visual targets. J Cogn Neurosci. 2013; 3(3):220-30. DOI: 10.1162/jocn.1991.3.3.220. View

Atkeson C, Hollerbach J . Kinematic features of unrestrained vertical arm movements. J Neurosci. 1985; 5(9):2318-30. PMC: 6565321. View

Krebs H, Hogan N, Aisen M, Volpe B . Robot-aided neurorehabilitation. IEEE Trans Rehabil Eng. 1998; 6(1):75-87. PMC: 2692541. DOI: 10.1109/86.662623. View

Hollerbach J, Atkeson C . Inferring limb coordination strategies from trajectory kinematics. J Neurosci Methods. 1987; 21(2-4):181-94. DOI: 10.1016/0165-0270(87)90115-4. View

Abend W, Bizzi E, Morasso P . Human arm trajectory formation. Brain. 1982; 105(Pt 2):331-48. DOI: 10.1093/brain/105.2.331. View

10.

Poggio T, Girosi F . Regularization algorithms for learning that are equivalent to multilayer networks. Science. 1990; 247(4945):978-82. DOI: 10.1126/science.247.4945.978. View

11.

CROSSMAN E, Goodeve P . Feedback control of hand-movement and Fitts' Law. Q J Exp Psychol A. 1983; 35(Pt 2):251-78. DOI: 10.1080/14640748308402133. View

12.

Milner T . A model for the generation of movements requiring endpoint precision. Neuroscience. 1992; 49(2):487-96. DOI: 10.1016/0306-4522(92)90113-g. View

13.

Lee D, Port N, Georgopoulos A . Manual interception of moving targets. II. On-line control of overlapping submovements. Exp Brain Res. 1998; 116(3):421-33. DOI: 10.1007/pl00005770. View

14.

Nelson W . Physical principles for economies of skilled movements. Biol Cybern. 1983; 46(2):135-47. DOI: 10.1007/BF00339982. View

15.

Morasso P . Spatial control of arm movements. Exp Brain Res. 1981; 42(2):223-7. DOI: 10.1007/BF00236911. View

16.

Morasso P, Mussa Ivaldi F . Trajectory formation and handwriting: a computational model. Biol Cybern. 1982; 45(2):131-42. DOI: 10.1007/BF00335240. View

17.

Hubel D, Wiesel T . Brain mechanisms of vision. Sci Am. 1979; 241(3):150-62. DOI: 10.1038/scientificamerican0979-150. View

18.

Aisen M, Krebs H, Hogan N, McDowell F, Volpe B . The effect of robot-assisted therapy and rehabilitative training on motor recovery following stroke. Arch Neurol. 1997; 54(4):443-6. DOI: 10.1001/archneur.1997.00550160075019. View

19.

von Hofsten C . Predictive reaching for moving objects by human infants. J Exp Child Psychol. 1980; 30(3):369-82. DOI: 10.1016/0022-0965(80)90043-0. View

20.

FITTS P . The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol. 1954; 47(6):381-91. View