Literature DB >> 22370741

Variant and invariant features characterizing natural and reverse whole-body pointing movements.

Enrico Chiovetto1, Laura Patanè, Thierry Pozzo.   

Abstract

Previous investigations showed that kinematics and muscle activity associated with natural whole-body movements along the gravity direction present modular organizations encoding specific aspects relative to both the motor plans and the motor programmes underlying movement execution. It is, however, still unknown whether such modular structures characterize also the reverse movements, when the displacement of a large number of joints is required to take the whole body back to a standing initial posture. To study what motor patterns are conserved across the reversal of movement direction, principal component analysis and non-negative matrix factorization were therefore applied, respectively, to the time series describing the temporal evolution of the elevation angles associated with all the body links and to the electromyographic signals of both natural and reverse whole-body movements. Results revealed that elevation angles were highly co-varying in time and that despite some differences in the global parameters characterizing the different movements (indicating differences in high-level variable associated with the selected motor plans), the level of joint co-variation did not change across movement direction. In contrast, muscle organization of the forward whole-body pointing tasks was found to be different with respect to that characterizing the reverse movements. Such results agree with previous findings, according to which the central nervous system exploits, dependently on the direction of motion, different motor plans for the execution of whole-body movements. However, in addition, this study shows how such motor plans are translated into different muscle strategies that equivalently assure a high level of co-variation in the joint space.

Mesh:

Year:  2012        PMID: 22370741     DOI: 10.1007/s00221-012-3030-y

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  32 in total

1.  Learning the parts of objects by non-negative matrix factorization.

Authors:  D D Lee; H S Seung
Journal:  Nature       Date:  1999-10-21       Impact factor: 49.962

2.  A novel algorithm to remove electrical cross-talk between surface EMG recordings and its application to the measurement of short-term synchronisation in humans.

Authors:  J M Kilner; S N Baker; R N Lemon
Journal:  J Physiol       Date:  2002-02-01       Impact factor: 5.182

3.  Similar planning strategies for whole-body and arm movements performed in the sagittal plane.

Authors:  C Papaxanthis; V Dubost; T Pozzo
Journal:  Neuroscience       Date:  2003       Impact factor: 3.590

4.  The coupling between upper and lower extremity synergies during whole body reaching.

Authors:  T R Kaminski
Journal:  Gait Posture       Date:  2007-07       Impact factor: 2.840

5.  A balanced view of motor control.

Authors:  Matthew C Tresch
Journal:  Nat Neurosci       Date:  2007-10       Impact factor: 24.884

6.  Postural maintenance during fast forward bending: a model simulation experiment determines the "reduced trajectory".

Authors:  C F Ramos; L W Stark
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

7.  Stability of muscle synergies for voluntary actions after cortical stroke in humans.

Authors:  Vincent C K Cheung; Lamberto Piron; Michela Agostini; Stefano Silvoni; Andrea Turolla; Emilio Bizzi
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-30       Impact factor: 11.205

Review 8.  Central representations of human limb movement as revealed by studies of drawing and handwriting.

Authors:  F Lacquaniti
Journal:  Trends Neurosci       Date:  1989-08       Impact factor: 13.837

9.  Simulating mechanical consequences of voluntary movement upon whole-body equilibrium: the arm-raising paradigm revisited.

Authors:  T Pozzo; M Ouamer; C Gentil
Journal:  Biol Cybern       Date:  2001-07       Impact factor: 2.086

10.  Kinematic networks. A distributed model for representing and regularizing motor redundancy.

Authors:  F A Mussa Ivaldi; P Morasso; R Zaccaria
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

View more
  6 in total

Review 1.  Revisiting the body-schema concept in the context of whole-body postural-focal dynamics.

Authors:  Pietro Morasso; Maura Casadio; Vishwanathan Mohan; Francesco Rea; Jacopo Zenzeri
Journal:  Front Hum Neurosci       Date:  2015-02-17       Impact factor: 3.169

2.  Model selection for the extraction of movement primitives.

Authors:  Dominik M Endres; Enrico Chiovetto; Martin A Giese
Journal:  Front Comput Neurosci       Date:  2013-12-20       Impact factor: 2.380

3.  Motor Control System for Adaptation of Healthy Individuals and Recovery of Poststroke Patients: A Case Study on Muscle Synergies.

Authors:  Fady S Alnajjar; Juan C Moreno; Ken-Ichi Ozaki; Izumi Kondo; Shingo Shimoda
Journal:  Neural Plast       Date:  2019-03-27       Impact factor: 3.599

4.  Toward a unifying framework for the modeling and identification of motor primitives.

Authors:  Enrico Chiovetto; Alessandro Salatiello; Andrea d'Avella; Martin A Giese
Journal:  Front Comput Neurosci       Date:  2022-09-12       Impact factor: 3.387

5.  Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies.

Authors:  Enrico Chiovetto; Bastien Berret; Ioannis Delis; Stefano Panzeri; Thierry Pozzo
Journal:  Front Comput Neurosci       Date:  2013-02-28       Impact factor: 2.380

6.  Kinematics of the coordination of pointing during locomotion.

Authors:  Enrico Chiovetto; Martin A Giese
Journal:  PLoS One       Date:  2013-11-19       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.