Muscle patterns underlying voluntary modulation of co-contraction

Borzelli, Daniele; Cesqui, Benedetta; Berger, Denise J.; Burdet, Etienne; d’Avella, Andrea

Muscle patterns underlying voluntary modulation of co-contraction

Borzelli D, Cesqui B, Berger DJ, Burdet E, d’Avella A (2018)
PLOS ONE 13(10): e0205911.

Zeitschriftenaufsatz | Veröffentlicht | Englisch

Download

Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!

DOI

https://doi.org/10.1371/journal.pone.0205911

Autor*in

Borzelli, Daniele; Cesqui, Benedetta; Berger, Denise J.; Burdet, Etienne; d’Avella, Andrea

Einrichtung

External Partner

Projekt

Cognitive Interaction in Motion - CogIMon

Erscheinungsjahr

2018

Zeitschriftentitel

PLOS ONE

Band

13

Ausgabe

10

Art.-Nr.

e0205911

Urheberrecht / Lizenzen

Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0)

ISSN

1932-6203

eISSN

1932-6203

Page URI

https://pub.uni-bielefeld.de/record/2932362

Zitieren

Borzelli D, Cesqui B, Berger DJ, Burdet E, d’Avella A. Muscle patterns underlying voluntary modulation of co-contraction. PLOS ONE. 2018;13(10): e0205911.

Borzelli, D., Cesqui, B., Berger, D. J., Burdet, E., & d’Avella, A. (2018). Muscle patterns underlying voluntary modulation of co-contraction. PLOS ONE, 13(10), e0205911. doi:10.1371/journal.pone.0205911

Borzelli, Daniele, Cesqui, Benedetta, Berger, Denise J., Burdet, Etienne, and d’Avella, Andrea. 2018. “Muscle patterns underlying voluntary modulation of co-contraction”. PLOS ONE 13 (10): e0205911.

Borzelli, D., Cesqui, B., Berger, D. J., Burdet, E., and d’Avella, A. (2018). Muscle patterns underlying voluntary modulation of co-contraction. PLOS ONE 13:e0205911.

Borzelli, D., et al., 2018. Muscle patterns underlying voluntary modulation of co-contraction. PLOS ONE, 13(10): e0205911.

D. Borzelli, et al., “Muscle patterns underlying voluntary modulation of co-contraction”, PLOS ONE, vol. 13, 2018, : e0205911.

Borzelli, D., Cesqui, B., Berger, D.J., Burdet, E., d’Avella, A.: Muscle patterns underlying voluntary modulation of co-contraction. PLOS ONE. 13, : e0205911 (2018).

Borzelli, Daniele, Cesqui, Benedetta, Berger, Denise J., Burdet, Etienne, and d’Avella, Andrea. “Muscle patterns underlying voluntary modulation of co-contraction”. PLOS ONE 13.10 (2018): e0205911.

53 References

Daten bereitgestellt von Europe PubMed Central.

Adaptive Control of Mechanical Impedance by Coactivation of Antagonist Muscles
AUTHOR UNKNOWN, 1984

Compensation for mechanically unstable loading in voluntary wrist movement.
Milner TE, Cloutier C., Exp Brain Res 94(3), 1993
PMID: 8359266

Adaptation to destabilizing dynamics by means of muscle cocontraction.
Milner TE., Exp Brain Res 143(4), 2002
PMID: 11914785

AUTHOR UNKNOWN, 2013

Wrist muscle activation patterns and stiffness associated with stable and unstable mechanical loads.
De Serres SJ, Milner TE., Exp Brain Res 86(2), 1991
PMID: 1756819

Independent control of joint stiffness in the framework of the equilibrium-point hypothesis.
Latash ML., Biol Cybern 67(4), 1992
PMID: 1515515

Damping of the wrist joint during voluntary movement.
Milner TE, Cloutier C., Exp Brain Res 122(3), 1998
PMID: 9808304

The central nervous system stabilizes unstable dynamics by learning optimal impedance.
Burdet E, Osu R, Franklin DW, Milner TE, Kawato M., Nature 414(6862), 2001
PMID: 11719805

Impedance is modulated to meet accuracy demands during goal-directed arm movements.
Selen LP, Beek PJ, van Dieen JH., Exp Brain Res 172(1), 2005
PMID: 16372169

Impedance control reduces instability that arises from motor noise.
Selen LP, Franklin DW, Wolpert DM., J. Neurosci. 29(40), 2009
PMID: 19812335

Role of cocontraction in arm movement accuracy.
Gribble PL, Mullin LI, Cothros N, Mattar A., J. Neurophysiol. 89(5), 2003
PMID: 12611935

The role of preparation in tuning anticipatory and reflex responses during catching.
Lacquaniti F, Maioli C., J. Neurosci. 9(1), 1989
PMID: 2913200

Electromyographic correlates of learning an internal model of reaching movements.
Thoroughman KA, Shadmehr R., J. Neurosci. 19(19), 1999
PMID: 10493757

CNS learns stable, accurate, and efficient movements using a simple algorithm.
Franklin DW, Burdet E, Tee KP, Osu R, Chew CM, Milner TE, Kawato M., J. Neurosci. 28(44), 2008
PMID: 18971459

Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model.
Franklin DW, Osu R, Burdet E, Kawato M, Milner TE., J. Neurophysiol. 90(5), 2003
PMID: 14615432

Postural force fields of the human arm and their role in generating multijoint movements.
Shadmehr R, Mussa-Ivaldi FA, Bizzi E., J. Neurosci. 13(1), 1993
PMID: 8423483

Human hand impedance characteristics during maintained posture.
Tsuji T, Morasso PG, Goto K, Ito K., Biol Cybern 72(6), 1995
PMID: 7612720

The control of stable postures in the multijoint arm.
McIntyre J, Mussa-Ivaldi FA, Bizzi E., Exp Brain Res 110(2), 1996
PMID: 8836689

Voluntary control of static endpoint stiffness during force regulation tasks.
Perreault EJ, Kirsch RF, Crago PE., J. Neurophysiol. 87(6), 2002
PMID: 12037183

Adaptive control of stiffness to stabilize hand position with large loads.
Franklin DW, Milner TE., Exp Brain Res 152(2), 2003
PMID: 12845511

AUTHOR UNKNOWN, 0

Learning to control arm stiffness under static conditions.
Darainy M, Malfait N, Gribble PL, Towhidkhah F, Ostry DJ., J. Neurophysiol. 92(6), 2004
PMID: 15282262

Neural, mechanical, and geometric factors subserving arm posture in humans.
Mussa-Ivaldi FA, Hogan N, Bizzi E., J. Neurosci. 5(10), 1985
PMID: 4045550

The control of hand equilibrium trajectories in multi-joint arm movements.
Flash T., Biol Cybern 57(4-5), 1987
PMID: 3689835

Learning the dynamics of reaching movements results in the modification of arm impedance and long-latency perturbation responses.
Wang T, Dordevic GS, Shadmehr R., Biol Cybern 85(6), 2001
PMID: 11762234

Functional significance of stiffness in adaptation of multijoint arm movements to stable and unstable dynamics.
Franklin DW, Burdet E, Osu R, Kawato M, Milner TE., Exp Brain Res 151(2), 2003
PMID: 12783150

AUTHOR UNKNOWN, 1967

Task-dependent viscoelasticity of human multijoint arm and its spatial characteristics for interaction with environments.
Gomi H, Osu R., J. Neurosci. 18(21), 1998
PMID: 9787002

Multijoint muscle regulation mechanisms examined by measured human arm stiffness and EMG signals.
Osu R, Gomi H., J. Neurophysiol. 81(4), 1999
PMID: 10200182

AUTHOR UNKNOWN, 2015

Muscle Synergies Heavily Influence the Neural Control of Arm Endpoint Stiffness and Energy Consumption.
Inouye JM, Valero-Cuevas FJ., PLoS Comput. Biol. 12(2), 2016
PMID: 26867014

Effort minimization and synergistic muscle recruitment for three-dimensional force generation.
Borzelli D, Berger DJ, Pai DK, d'Avella A., Front Comput Neurosci 7(), 2013
PMID: 24391581

AUTHOR UNKNOWN, 2011

Differences in adaptation rates after virtual surgeries provide direct evidence for modularity.
Berger DJ, Gentner R, Edmunds T, Pai DK, d'Avella A., J. Neurosci. 33(30), 2013
PMID: 23884944

AUTHOR UNKNOWN, 2010

The Fundamental Theorem of Linear Algebra
AUTHOR UNKNOWN, 1993

Arm muscle activation for static forces in three-dimensional space.
Flanders M, Soechting JF., J. Neurophysiol. 64(6), 1990
PMID: 2074466

AUTHOR UNKNOWN, 0

Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans.
Roh J, Rymer WZ, Beer RF., J. Neurophysiol. 107(8), 2012
PMID: 22279190

A computational model of muscle recruitment for wrist movements.
Fagg AH, Shah A, Barto AG., J. Neurophysiol. 88(6), 2002
PMID: 12466451

Cosine tuning minimizes motor errors.
Todorov E., Neural Comput 14(6), 2002
PMID: 12020444

Time-varying mechanical behavior of multijointed arm in man.
Lacquaniti F, Carrozzo M, Borghese NA., J. Neurophysiol. 69(5), 1993
PMID: 8509826

Endpoint stiffness of the arm is directionally tuned to instability in the environment.
Franklin DW, Liaw G, Milner TE, Osu R, Burdet E, Kawato M., J. Neurosci. 27(29), 2007
PMID: 17634365

Key Insights into Hand Biomechanics: Human Grip Stiffness Can Be Decoupled from Force by Cocontraction and Predicted from Electromyography.
Hoppner H, Große-Dunker M, Stillfried G, Bayer J, van der Smagt P., Front Neurorobot 11(), 2017
PMID: 28588472

Robustness of muscle synergies during visuomotor adaptation.
Gentner R, Edmunds T, Pai DK, d'Avella A., Front Comput Neurosci 7(), 2013
PMID: 24027524

Muscle cocontraction following dynamics learning.
Darainy M, Ostry DJ., Exp Brain Res 190(2), 2008
PMID: 18584164

Short- and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG.
Osu R, Franklin DW, Kato H, Gomi H, Domen K, Yoshioka T, Kawato M., J. Neurophysiol. 88(2), 2002
PMID: 12163548

Muscle coordination is habitual rather than optimal.
de Rugy A, Loeb GE, Carroll TJ., J. Neurosci. 32(21), 2012
PMID: 22623684

Motor memory and local minimization of error and effort, not global optimization, determine motor behavior.
Ganesh G, Haruno M, Kawato M, Burdet E., J. Neurophysiol. 104(1), 2010
PMID: 20484533

Effective force control by muscle synergies.
Berger DJ, d'Avella A., Front Comput Neurosci 8(), 2014
PMID: 24860489

Structured variability of muscle activations supports the minimal intervention principle of motor control.
Valero-Cuevas FJ, Venkadesan M, Todorov E., J. Neurophysiol. 102(1), 2009
PMID: 19369362

Myoelectric signal versus force relationship in different human muscles.
Lawrence JH, De Luca CJ., J Appl Physiol Respir Environ Exerc Physiol 54(6), 1983
PMID: 6874489

Neural, mechanical, and geometric factors subserving arm posture in humans.
Mussa-Ivaldi FA, Hogan N, Bizzi E., J. Neurosci. 5(10), 1985
PMID: 4045550

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB