Literature DB >> 19403752

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

Claudia M Hendrix1, Carolyn R Mason, Timothy J Ebner.   

Abstract

A fundamental question is how the CNS controls the hand with its many degrees of freedom. Several motor cortical areas, including the dorsal premotor cortex (PMd) and primary motor cortex (M1), are involved in reach to grasp. Although neurons in PMd are known to modulate in relation to the type of grasp and neurons in M1 in relation to grasp force and finger movements, whether specific parameters of whole hand shaping are encoded in the discharge of these cells has not been studied. In this study, two monkeys were trained to reach and grasp 16 objects varying in shape, size, and orientation. Grasp force was explicitly controlled, requiring the monkeys to exert either three or five levels of grasp force on each object. The animals were unable to see the objects or their hands. Single PMd and M1 neurons were recorded during the task, and cell firing was examined for modulation with object properties and grasp force. The firing of the vast majority of PMd and M1 neurons varied significantly as a function of the object presented as well as the object grasp dimension. Grasp dimension of the object was an important determinant of the firing of cells in both PMd and M1. A smaller percentage of PMd and M1 neurons were modulated by grasp force. Linear encoding was prominent with grasp force but less so with grasp dimension. The correlations with grasp dimension and grasp force were stronger in the firing of M1 than PMd neurons and across both regions the modulation with these parameters increased as reach to grasp proceeded. All PMd and M1 neurons that signaled grasp force also signaled grasp dimension, yet the two signals showed limited interactions, providing a neural substrate for the independent control of these two parameters at the behavioral level.

Mesh:

Year:  2009        PMID: 19403752      PMCID: PMC2712255          DOI: 10.1152/jn.00016.2009

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


  94 in total

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2.  Selectivity for the shape, size, and orientation of objects for grasping in neurons of monkey parietal area AIP.

Authors:  A Murata; V Gallese; G Luppino; M Kaseda; H Sakata
Journal:  J Neurophysiol       Date:  2000-05       Impact factor: 2.714

3.  Grasp size and accuracy of approach in reaching.

Authors:  A M Wing; A Turton; C Fraser
Journal:  J Mot Behav       Date:  1986-09       Impact factor: 1.328

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Journal:  J Neurophysiol       Date:  2005-10-26       Impact factor: 2.714

5.  Subdivisions of primary motor cortex based on cortico-motoneuronal cells.

Authors:  Jean-Alban Rathelot; Peter L Strick
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-12       Impact factor: 11.205

6.  Functional organization of inferior area 6 in the macaque monkey. II. Area F5 and the control of distal movements.

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7.  Contribution of the monkey corticomotoneuronal system to the control of force in precision grip.

Authors:  M A Maier; K M Bennett; M C Hepp-Reymond; R N Lemon
Journal:  J Neurophysiol       Date:  1993-03       Impact factor: 2.714

8.  Reach to grasp: the natural response to perturbation of object size.

Authors:  U Castiello; K M Bennett; G E Stelmach
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

9.  Corticospinal terminations in two new-world primates: further evidence that corticomotoneuronal connections provide part of the neural substrate for manual dexterity.

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Review 10.  The cortical control of visually guided grasping.

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  26 in total

1.  Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials.

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2.  Spatiotemporal Distribution of Location and Object Effects in Primary Motor Cortex Neurons during Reach-to-Grasp.

Authors:  Adam G Rouse; Marc H Schieber
Journal:  J Neurosci       Date:  2016-10-12       Impact factor: 6.167

3.  State-based decoding of hand and finger kinematics using neuronal ensemble and LFP activity during dexterous reach-to-grasp movements.

Authors:  Vikram Aggarwal; Mohsen Mollazadeh; Adam G Davidson; Marc H Schieber; Nitish V Thakor
Journal:  J Neurophysiol       Date:  2013-03-27       Impact factor: 2.714

4.  Corticospinal excitability underlying digit force planning for grasping in humans.

Authors:  Pranav Parikh; Marco Davare; Patrick McGurrin; Marco Santello
Journal:  J Neurophysiol       Date:  2014-02-05       Impact factor: 2.714

5.  High-frequency band temporal dynamics in response to a grasp force task.

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Journal:  J Neural Eng       Date:  2019-08-06       Impact factor: 5.379

6.  Spatiotemporal variation of multiple neurophysiological signals in the primary motor cortex during dexterous reach-to-grasp movements.

Authors:  Mohsen Mollazadeh; Vikram Aggarwal; Adam G Davidson; Andrew J Law; Nitish V Thakor; Marc H Schieber
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7.  Terminal organization of the corticospinal projection from the lateral premotor cortex to the cervical enlargement (C5-T1) in rhesus monkey.

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Journal:  J Comp Neurol       Date:  2019-05-11       Impact factor: 3.215

8.  Local field potentials in primate motor cortex encode grasp kinetic parameters.

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9.  Encoding of coordinated grasp trajectories in primary motor cortex.

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Review 10.  The cognitive neuroscience of prehension: recent developments.

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