Literature DB >> 19227507

The roles of vision and proprioception in the planning of reaching movements.

Fabrice R Sarlegna1, Robert L Sainburg.   

Abstract

While vision and proprioception can both provide information about arm configuration prior to movement, substantial evidence suggests that each modality is used for different stages of the planning process. In this chapter, we provide support for the idea that vision is mainly used to define the trajectory and the kinematics of reaching movements. Proprioception appears to be critical in the transformation of this plan into the motor commands sent to the arm muscles.

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Year:  2009        PMID: 19227507      PMCID: PMC3709263          DOI: 10.1007/978-0-387-77064-2_16

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  86 in total

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4.  The effect of target modality on visual and proprioceptive contributions to the control of movement distance.

Authors:  Fabrice R Sarlegna; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2007-01       Impact factor: 1.972

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6.  Nonlinear control of movement distance at the human elbow.

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7.  The coordination of arm movements: an experimentally confirmed mathematical model.

Authors:  T Flash; N Hogan
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Authors:  Nicholas P Holmes; Charles Spence
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9.  Impairments of reaching movements in patients without proprioception. I. Spatial errors.

Authors:  J Gordon; M F Ghilardi; C Ghez
Journal:  J Neurophysiol       Date:  1995-01       Impact factor: 2.714

10.  The control of rapid limb movement in the cat. II. Scaling of isometric force adjustments.

Authors:  C Ghez; D Vicario
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  51 in total

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Review 2.  Brain control and information transfer.

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Review 3.  The mirror illusion's effects on body state estimation.

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4.  Coordination deficits in ideomotor apraxia during visually targeted reaching reflect impaired visuomotor transformations.

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5.  Contribution of visual and proprioceptive information to the precision of reaching movements.

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6.  Manual asymmetry for temporal and spatial parameters in sensorimotor synchronization.

Authors:  Sergio Chieffi; Ines Villano; Alessandro Iavarone; Antonietta Messina; Vincenzo Monda; Andrea Viggiano; Giovanni Messina; Marcellino Monda
Journal:  Exp Brain Res       Date:  2017-03-01       Impact factor: 1.972

7.  Predicting non-linear dynamics by stable local learning in a recurrent spiking neural network.

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8.  Bilateral deep brain stimulation of the subthalamic nucleus increases pointing error during memory-guided sequential reaching.

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9.  Multisensory integration for motor control and adaptation.

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10.  Multifunctional Setup for Studying Human Motor Control Using Transcranial Magnetic Stimulation, Electromyography, Motion Capture, and Virtual Reality.

Authors:  William J Talkington; Bradley S Pollard; Erienne V Olesh; Valeriya Gritsenko
Journal:  J Vis Exp       Date:  2015-09-03       Impact factor: 1.355

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