Literature DB >> 17267758

Characterization of torque-related activity in primary motor cortex during a multijoint postural task.

Troy M Herter1, Isaac Kurtzer, D William Cabel, Kirk A Haunts, Stephen H Scott.   

Abstract

The present study examined neural activity in the shoulder/elbow region of primary motor cortex (M1) during a whole-limb postural task. By selectively imposing torques at the shoulder, elbow, or both joints we addressed how neurons represent changes in torque at a single joint, multiple joints, and their interrelation. We observed that similar proportions of neurons reflected changes in torque at the shoulder, elbow, and both joints and these neurons were highly intermingled across the cortical surface. Most torque-related neurons were reciprocally excited and inhibited (relative to their unloaded baseline activity) by opposing flexor and extensor torques at a single joint. Although coexcitation/coinhibition was occasionally observed at a single joint, it was rarely observed at both joints. A second analysis assessed the relationship between single-joint and multijoint activity. In contrast to our previous observations, we found that neither linear nor vector summation of single-joint activities could capture the breadth of neural responses to multijoint torques. Finally, we studied the neurons' directional tuning across all the torque conditions, i.e., in joint-torque space. Our population of M1 neurons exhibited a strong bimodal distribution of preferred-torque directions (PTDs) that was biased toward shoulder-extensor/elbow-flexor (whole-limb flexor) and shoulder-flexor/elbow-extensor (whole-limb extensor) torques. Notably, we recently observed a similar bimodal distribution of PTDs in a sample of proximal arm muscles. This observation illustrates the intimate relationship between M1 and the motor periphery.

Mesh:

Year:  2007        PMID: 17267758     DOI: 10.1152/jn.00757.2006

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


  14 in total

1.  Primary motor cortex neurons classified in a postural task predict muscle activation patterns in a reaching task.

Authors:  Ethan A Heming; Timothy P Lillicrap; Mohsen Omrani; Troy M Herter; J Andrew Pruszynski; Stephen H Scott
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

2.  Modulation of the trigeminofacial pathway during syllabic speech.

Authors:  Meredith Estep; Steven M Barlow
Journal:  Brain Res       Date:  2007-08-03       Impact factor: 3.252

Review 3.  Inconvenient truths about neural processing in primary motor cortex.

Authors:  Stephen H Scott
Journal:  J Physiol       Date:  2008-01-10       Impact factor: 5.182

4.  Multicomponent control strategy underlying production of maximal hand velocity during horizontal arm swing.

Authors:  Young-Kwan Kim; Richard N Hinrichs; Natalia Dounskaia
Journal:  J Neurophysiol       Date:  2009-09-16       Impact factor: 2.714

5.  Optimal feedback control to describe multiple representations of primary motor cortex neurons.

Authors:  Yuki Ueyama
Journal:  J Comput Neurosci       Date:  2017-06-01       Impact factor: 1.621

6.  Modularity speeds up motor learning by overcoming mechanical bias in musculoskeletal geometry.

Authors:  Shota Hagio; Motoki Kouzaki
Journal:  J R Soc Interface       Date:  2018-10-10       Impact factor: 4.118

7.  Activation and intermuscular coherence of distal arm muscles during proximal muscle contraction.

Authors:  Sang Wook Lee; Katlin Landers; Michelle L Harris-Love
Journal:  Exp Brain Res       Date:  2013-12-07       Impact factor: 1.972

8.  Using a compound gain field to compute a reach plan.

Authors:  Steve W C Chang; Charalampos Papadimitriou; Lawrence H Snyder
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

9.  Learning with slight forgetting optimizes sensorimotor transformation in redundant motor systems.

Authors:  Masaya Hirashima; Daichi Nozaki
Journal:  PLoS Comput Biol       Date:  2012-06-28       Impact factor: 4.475

10.  Similarities in the neural control of the shoulder and elbow joints belie their structural differences.

Authors:  Andrew R Karduna; Robert L Sainburg
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

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