Literature DB >> 14973321

Muscular and postural synergies of the human hand.

Erica J Weiss1, Martha Flanders.   

Abstract

Because humans have limited ability to independently control the many joints of the hand, a wide variety of hand shapes can be characterized as a weighted combination of just two or three main patterns of covariation in joint rotations, or "postural synergies." The present study sought to align muscle synergies with these main postural synergies and to describe the form of membership of motor units in these postural/muscle synergies. Seventeen joint angles and the electromyographic (EMG) activities of several hand muscles (both intrinsic and extrinsic muscles) were recorded while human subjects held the hand statically in 52 specific shapes (i.e., shaping the hand around 26 commonly grasped objects or forming the 26 letter shapes of a manual alphabet). Principal-components analysis revealed several patterns of muscle synergy, some of which represented either coactivation of all hand muscles, or reciprocal patterns of activity (above and below average levels) in the intrinsic index finger and thumb muscles or (to a lesser extent) in the extrinsic four-tendoned extensor and flexor muscles. Single- and multiunit activity was generally a multimodal function of whole hand shape. This implies that motor-unit activation does not align with a single synergy; instead, motor units participate in multiple muscle synergies. Thus it appears that the organization of the global pattern of hand muscle activation is highly distributed. This organization mirrors the highly fractured somatotopy of cortical hand representations and may provide an ideal substrate for motor learning and recovery from injury.

Entities:  

Mesh:

Year:  2004        PMID: 14973321     DOI: 10.1152/jn.01265.2003

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  80 in total

1.  Long-term training modifies the modular structure and organization of walking balance control.

Authors:  Andrew Sawers; Jessica L Allen; Lena H Ting
Journal:  J Neurophysiol       Date:  2015-10-14       Impact factor: 2.714

2.  Multifunctional and Context-Dependent Control of Vocal Acoustics by Individual Muscles.

Authors:  Kyle H Srivastava; Coen P H Elemans; Samuel J Sober
Journal:  J Neurosci       Date:  2015-10-21       Impact factor: 6.167

3.  Effect of visual and tactile feedback on kinematic synergies in the grasping hand.

Authors:  Vrajeshri Patel; Martin Burns; Ramana Vinjamuri
Journal:  Med Biol Eng Comput       Date:  2015-12-11       Impact factor: 2.602

4.  Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans.

Authors:  Jinsook Roh; William Z Rymer; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-01-25       Impact factor: 2.714

5.  Finger movements during reach-to-grasp in the monkey: amplitude scaling of a temporal synergy.

Authors:  Lalin S Theverapperuma; Claudia M Hendrix; Carolyn R Mason; Timothy J Ebner
Journal:  Exp Brain Res       Date:  2005-11-16       Impact factor: 1.972

6.  Cortico-motoneuronal output to intrinsic hand muscles is differentially influenced by static changes in shoulder positions.

Authors:  F Dominici; T Popa; F Ginanneschi; R Mazzocchio; A Rossi
Journal:  Exp Brain Res       Date:  2005-05-10       Impact factor: 1.972

7.  The acquisition and implementation of the smoothness maximization motion strategy is dependent on spatial accuracy demands.

Authors:  Ronen Sosnik; Tamar Flash; Bjoern Hauptmann; Avi Karni
Journal:  Exp Brain Res       Date:  2007-01       Impact factor: 1.972

8.  Learning effects on muscle modes and multi-mode postural synergies.

Authors:  Tadayoshi Asaka; Yun Wang; Junko Fukushima; Mark L Latash
Journal:  Exp Brain Res       Date:  2007-08-28       Impact factor: 1.972

9.  Simplified and effective motor control based on muscle synergies to exploit musculoskeletal dynamics.

Authors:  Max Berniker; Anthony Jarc; Emilio Bizzi; Matthew C Tresch
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-20       Impact factor: 11.205

10.  Resolving kinematic redundancy in target-reaching movements with and without external constraint.

Authors:  Dongpyo Lee; Daniel M Corcos; Jonathan Shemmell; Sue Leurgans; Ziaul Hasan
Journal:  Exp Brain Res       Date:  2008-07-29       Impact factor: 1.972

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.