Literature DB >> 22076406

Interlimb differences of directional biases for stroke production.

Wanyue Wang1, Travis Johnson, Robert L Sainburg, Natalia Dounskaia.   

Abstract

Directional preferences during center-out horizontal shoulder-elbow movements were previously characterized for the dominant arm. These preferences were attributed to a tendency to actively accelerate one joint, while exploiting largely passive motion at the other joint. Since the non-dominant arm is known for inefficient coordination of inter-segmental dynamics, here we hypothesized that directional preferences would differ between the arms. A center-out free-stroke drawing task was used that allowed freedom in the selection of movement directions. The task was performed both with and without a secondary cognitive task that has been shown to increase directional biases of the dominant arm. Mirror-symmetrical directional preferences were observed in both arms, with similar bias strength and secondary task effects. The preferred directions were characterized by maximal exploitation of interaction torques for movement production, but only in the dominant arm. The non-dominant arm failed to benefit from interaction torques. The results point to a hierarchical architecture of control. At the higher level, a movement capable to perform the task while satisfying preferences in joint control is specified through forward dynamic transformations. This process is mediated for both arms from a common neural network adapted to the dominant arm and, specifically, to its ability to exploit interaction torques. Dynamic transformations that determine actual control commands are specified at the lower level of control. An alternative interpretation that strokes might be planned evenly across directions, and biases emerge during movement execution due to anisotropic resistance of intrinsic factors that do not depend on arm dominance is also discussed.

Entities:  

Mesh:

Year:  2011        PMID: 22076406      PMCID: PMC3697123          DOI: 10.1007/s00221-011-2927-1

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


  31 in total

1.  Differences in control of limb dynamics during dominant and nondominant arm reaching.

Authors:  R L Sainburg; D Kalakanis
Journal:  J Neurophysiol       Date:  2000-05       Impact factor: 2.714

2.  Evidence for a dynamic-dominance hypothesis of handedness.

Authors:  Robert L Sainburg
Journal:  Exp Brain Res       Date:  2001-11-22       Impact factor: 1.972

3.  Dissociation between hand motion and population vectors from neural activity in motor cortex.

Authors:  S H Scott; P L Gribble; K M Graham; D W Cabel
Journal:  Nature       Date:  2001-09-13       Impact factor: 49.962

4.  Handedness: dominant arm advantages in control of limb dynamics.

Authors:  Leia B Bagesteiro; Robert L Sainburg
Journal:  J Neurophysiol       Date:  2002-11       Impact factor: 2.714

5.  Hand preference, practice order, and spatial assimilations in rapid bimanual movement.

Authors:  D E Sherwood
Journal:  J Mot Behav       Date:  1994-06       Impact factor: 1.328

6.  Hierarchical control of different elbow-wrist coordination patterns.

Authors:  N V Dounskaia; S P Swinnen; C B Walter; A J Spaepen; S M Verschueren
Journal:  Exp Brain Res       Date:  1998-08       Impact factor: 1.972

7.  Neuronal population coding of movement direction.

Authors:  A P Georgopoulos; A B Schwartz; R E Kettner
Journal:  Science       Date:  1986-09-26       Impact factor: 47.728

8.  The role of intrinsic factors in control of arm movement direction: implications from directional preferences.

Authors:  Natalia Dounskaia; Jacob A Goble; Wanyue Wang
Journal:  J Neurophysiol       Date:  2010-12-01       Impact factor: 2.714

9.  Ocular limit cycles induced by delayed retinal feedback.

Authors:  D M Wolpert; R C Miall; G K Kerr; J F Stein
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

10.  Directional biases reveal utilization of arm's biomechanical properties for optimization of motor behavior.

Authors:  Jacob A Goble; Yanxin Zhang; Yury Shimansky; Siddharth Sharma; Natalia V Dounskaia
Journal:  J Neurophysiol       Date:  2007-07-11       Impact factor: 2.714

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  5 in total

Review 1.  Strategy of arm movement control is determined by minimization of neural effort for joint coordination.

Authors:  Natalia Dounskaia; Yury Shimansky
Journal:  Exp Brain Res       Date:  2016-03-16       Impact factor: 1.972

2.  Eye-hand coordination during visuomotor adaptation: effects of hemispace and joint coordination.

Authors:  Miya K Rand; Sebastian Rentsch
Journal:  Exp Brain Res       Date:  2017-09-12       Impact factor: 1.972

3.  Preferred directions of arm movements are independent of visual perception of spatial directions.

Authors:  Natalia Dounskaia; Wanyue Wang; Robert L Sainburg; Andrzej Przybyla
Journal:  Exp Brain Res       Date:  2013-11-21       Impact factor: 1.972

4.  Influence of workspace constraints on directional preferences of 3D arm movements.

Authors:  Wanyue Wang; Natalia Dounskaia
Journal:  Exp Brain Res       Date:  2015-04-26       Impact factor: 1.972

5.  Load emphasizes muscle effort minimization during selection of arm movement direction.

Authors:  Wanyue Wang; Natalia Dounskaia
Journal:  J Neuroeng Rehabil       Date:  2012-10-04       Impact factor: 4.262

  5 in total

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