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Neuronal representation of stand and squat in the primary motor cortex of monkeys

Overview of attention for article published in Behavioral and Brain Functions, April 2015
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Title
Neuronal representation of stand and squat in the primary motor cortex of monkeys
Published in
Behavioral and Brain Functions, April 2015
DOI 10.1186/s12993-015-0061-0
Pubmed ID
Authors

Chaolin Ma, Xuan Ma, Hang Zhang, Jiang Xu, Jiping He

Abstract

Determining neuronal topographical information in the cerebral cortex is of fundamental importance for developing neuroprosthetics. Significant progress has been achieved in decoding hand voluntary movement with cortical neuronal activity in nonhuman primates. However, there are few successful reports in scientific literature for decoding lower limb voluntary movement with the cortical neuronal firing. We once reported an experimental system, which consists of a specially designed chair, a visually guided stand and squat task training paradigm and an acute neuron recording setup. With this system, we can record high quality cortical neuron activity to investigate the correlation between these neuronal signals and stand/squat movement. In this research, we train two monkeys to perform the visually guided stand and squat task, and record neuronal activity in the vast areas targeted to M1 hind-limb region, at a distance of 1 mm. We find that 76.9% of recorded neurons (1230 out of 1598 neurons) showing task-firing modulation, including 294 (18.4%) during the pre-response window; 310 (19.4%) for standing up; 104 (6.5%) for the holding stand phase; and 205 (12.8%) during the sitting down. The distributions of different type neurons have a high degree of overlap. They are mainly ranged from +7.0 to 13 mm in the Posterior-Anterior dimension, and from +0.5 to 4.0 mm in Dosal-lateral dimension, very close to the midline, and just anterior of the central sulcus. The present study examines the neuronal activity related to lower limb voluntary movements in M1 and find topographical information of various neurons tuned to different stages of the stand and squat task. This work may contribute to understanding the fundamental principles of neural control of lower limb movements. Especially, the topographical information suggests us where to implant the chronic microelectrode arrays to harvest the most quantity and highest quality neurons related to lower limb movements, which may accelerate to develop cortically controlled lower limb neuroprosthetics for spinal cord injury subjects.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 31%
Student > Ph. D. Student 3 19%
Other 2 13%
Student > Bachelor 2 13%
Student > Doctoral Student 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Psychology 2 13%
Sports and Recreations 2 13%
Neuroscience 2 13%
Computer Science 1 6%
Other 2 13%
Unknown 2 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 December 2016.
All research outputs
#6,412,365
of 8,834,354 outputs
Outputs from Behavioral and Brain Functions
#219
of 329 outputs
Outputs of similar age
#135,833
of 208,358 outputs
Outputs of similar age from Behavioral and Brain Functions
#10
of 10 outputs
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So far Altmetric has tracked 329 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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