Literature DB >> 14762155

Monkey hand postural synergies during reach-to-grasp in the absence of vision of the hand and object.

Carolyn R Mason1, Lalin S Theverapperuma, Claudia M Hendrix, Timothy J Ebner.   

Abstract

Understanding how the CNS controls reach-to-grasp will require behavioral and neurophysiological studies of reach-to-grasp in the monkey, including the evaluation of whole-hand grasp with explicit force requirements. In this study, monkeys performed a reach-to-grasp task in which the size, shape, and orientation of the objects were varied. The monkeys were required to grasp each object at five force levels based on visual feedback. Seventeen positions on the wrist and hand were monitored to quantify kinematics. Hand shaping began with initiation of reach and continued throughout the reach, matching object properties even without vision of the hand or object. Grasp aperture scaled to object size. Singular value decomposition analysis of the marker positions identified two dominant hand postures. The first eigenvector or "eigenposture" consisted of an open hand configuration midway between flexion and extension that explained >93% of the variance. The second eigenposture consisted of hyperextension of all joints that accounted for another 4-5% of the variance. The two eigenpostures were similar across force levels and between monkeys. Reach kinematics consisted of a U-shaped hand path with a bell-shaped velocity profile. Trajectory and speed were independent of grasp force and object properties. In summary, hand shaping during the reach occurred without vision of the hand or object, and hand kinematics were not dependent on grasp force. Furthermore, the reach was independent of grasp force and object properties. These observations imply that the kinematics of reach-to-grasp and grasp force are controlled independently. Similar to humans, monkeys may use a simplifying strategy to reduce the degrees of freedom of the hand during reach-to-grasp.

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Year:  2004        PMID: 14762155     DOI: 10.1152/jn.00653.2003

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


  28 in total

1.  Spatiotemporal distribution of location and object effects in reach-to-grasp kinematics.

Authors:  Adam G Rouse; Marc H Schieber
Journal:  J Neurophysiol       Date:  2015-10-07       Impact factor: 2.714

2.  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

3.  A MULTIVARIATE GAUSSIAN PROCESS FACTOR MODEL FOR HAND SHAPE DURING REACH-TO-GRASP MOVEMENTS.

Authors:  Lucia Castellanos; Vincent Q Vu; Sagi Perel; Andrew B Schwartz; Robert E Kass
Journal:  Stat Sin       Date:  2015-01       Impact factor: 1.261

4.  Prehension movements in the macaque monkey: effects of perturbation of object size and location.

Authors:  Alice C Roy; Yves Paulignan; Martine Meunier; Driss Boussaoud
Journal:  Exp Brain Res       Date:  2005-11-17       Impact factor: 1.972

5.  Neurophysiology of prehension. III. Representation of object features in posterior parietal cortex of the macaque monkey.

Authors:  Esther P Gardner; K Srinivasa Babu; Soumya Ghosh; Adam Sherwood; Jessie Chen
Journal:  J Neurophysiol       Date:  2007-10-17       Impact factor: 2.714

6.  Signaling of grasp dimension and grasp force in dorsal premotor cortex and primary motor cortex neurons during reach to grasp in the monkey.

Authors:  Claudia M Hendrix; Carolyn R Mason; Timothy J Ebner
Journal:  J Neurophysiol       Date:  2009-04-29       Impact factor: 2.714

7.  Quantitative model of transport-aperture coordination during reach-to-grasp movements.

Authors:  Miya K Rand; Y P Shimansky; Abul B M I Hossain; George E Stelmach
Journal:  Exp Brain Res       Date:  2008-04-26       Impact factor: 1.972

8.  Neural representation of hand kinematics during prehension in posterior parietal cortex of the macaque monkey.

Authors:  Jessie Chen; Shari D Reitzen; Jane B Kohlenstein; Esther P Gardner
Journal:  J Neurophysiol       Date:  2009-09-30       Impact factor: 2.714

9.  Principal components of hand kinematics and neurophysiological signals in motor cortex during reach to grasp movements.

Authors:  Mohsen Mollazadeh; Vikram Aggarwal; Nitish V Thakor; Marc H Schieber
Journal:  J Neurophysiol       Date:  2014-07-02       Impact factor: 2.714

10.  Microstimulation activates a handful of muscle synergies.

Authors:  Simon A Overduin; Andrea d'Avella; Jose M Carmena; Emilio Bizzi
Journal:  Neuron       Date:  2012-12-20       Impact factor: 17.173

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