Literature DB >> 12228979

Kinematic control of walking.

F Lacquaniti1, Y P Ivanenko, M Zago.   

Abstract

The planar law of inter-segmental co-ordination we described may emerge from the coupling of neural oscillators between each other and with limb mechanical oscillators. Muscle contraction intervenes at variable times to re-excite the intrinsic oscillations of the system when energy is lost. The hypothesis that a law of coordinative control results from a minimal active tuning of the passive inertial and viscoelastic coupling among limb segments is congruent with the idea that movement has evolved according to minimum energy criteria (1, 8). It is known that multi-segment motion of mammals locomotion is controlled by a network of coupled oscillators (CPGs, see 18, 33, 37). Flexible combination of unit oscillators gives rise to different forms of locomotion. Inter-oscillator coupling can be modified by changing the synaptic strength (or polarity) of the relative spinal connections. As a result, unit oscillators can be coupled in phase, out of phase, or with a variable phase, giving rise to different behaviors, such as speed increments or reversal of gait direction (from forward to backward). Supra-spinal centers may drive or modulate functional sets of coordinating interneurons to generate different walking modes (or gaits). Although it is often assumed that CPGs control patterns of muscle activity, an equally plausible hypothesis is that they control patterns of limb segment motion instead (22). According to this kinematic view, each unit oscillator would directly control a limb segment, alternately generating forward and backward oscillations of the segment. Inter-segmental coordination would be achieved by coupling unit oscillators with a variable phase. Inter-segmental kinematic phase plays the role of global control variable previously postulated for the network of central oscillators. In fact, inter-segmental phase shifts systematically with increasing speed both in man (4) and cat (38). Because this phase-shift is correlated with the net mechanical power output over a gait cycle (3, 4), phase control could be used for limiting the overall energy expenditure with increasing speed (22). Adaptation to different walking conditions, such as changes in body posture, body weight unloading and backward walk, also involves inter-segmental phase tuning, as does the maturation of limb kinematics in toddlers.

Entities:  

Mesh:

Year:  2002        PMID: 12228979

Source DB:  PubMed          Journal:  Arch Ital Biol        ISSN: 0003-9829            Impact factor:   1.000


  25 in total

1.  Coordinated modulation of locomotor muscle synergies constructs straight-ahead and curvilinear walking in humans.

Authors:  Grégoire Courtine; Charalambos Papaxanthis; Marco Schieppati
Journal:  Exp Brain Res       Date:  2005-11-19       Impact factor: 1.972

2.  Angular momentum synergies during walking.

Authors:  Thomas Robert; Bradford C Bennett; Shawn D Russell; Christopher A Zirker; Mark F Abel
Journal:  Exp Brain Res       Date:  2009-07-04       Impact factor: 1.972

3.  Intersegmental coordination patterns are differently affected in Parkinson's disease and cerebellar ataxia.

Authors:  Simon D Israeli-Korn; Avi Barliya; Caroline Paquette; Erika Franzén; Rivka Inzelberg; Fay B Horak; Tamar Flash
Journal:  J Neurophysiol       Date:  2018-11-21       Impact factor: 2.714

4.  Kinematic adaptation of locomotor pattern in rheumatoid arthritis patients with forefoot impairment.

Authors:  Davy Laroche; Paul Ornetti; Elizabeth Thomas; Yves Ballay; Jean Francis Maillefert; Thierry Pozzo
Journal:  Exp Brain Res       Date:  2006-08-17       Impact factor: 1.972

5.  Principle of Spectral Reciprocity in Biomechanics of Locomotion and Rehabilitation.

Authors:  Mark Pitkin
Journal:  Open Rehabil J       Date:  2008

6.  Aging does not affect the intralimb coordination elicited by slip-like perturbation of different intensities.

Authors:  Federica Aprigliano; Dario Martelli; Peppino Tropea; Guido Pasquini; Silvestro Micera; Vito Monaco
Journal:  J Neurophysiol       Date:  2017-07-12       Impact factor: 2.714

7.  Kinematic patterns while walking on a slope at different speeds.

Authors:  A H Dewolf; Y Ivanenko; K E Zelik; F Lacquaniti; P A Willems
Journal:  J Appl Physiol (1985)       Date:  2018-04-26

8.  Locomotor adaptation on a split-belt treadmill can improve walking symmetry post-stroke.

Authors:  Darcy S Reisman; Robert Wityk; Kenneth Silver; Amy J Bastian
Journal:  Brain       Date:  2007-04-02       Impact factor: 13.501

9.  Variant and invariant patterns embedded in human locomotion through whole body kinematic coordination.

Authors:  Tetsuro Funato; Shinya Aoi; Hiroko Oshima; Kazuo Tsuchiya
Journal:  Exp Brain Res       Date:  2010-08-11       Impact factor: 1.972

10.  Effects of visual deprivation on intra-limb coordination during walking in children and adults.

Authors:  Ann Hallemans; Peter Aerts
Journal:  Exp Brain Res       Date:  2009-07-18       Impact factor: 1.972

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