Literature DB >> 16823029

Sequential activation of muscle synergies during locomotion in the intact cat as revealed by cluster analysis and direct decomposition.

Nedialko Krouchev1, John F Kalaska, Trevor Drew.   

Abstract

During goal-directed locomotion, descending signals from supraspinal structures act through spinal interneuron pathways to effect modifications of muscle activity that are appropriate to the task requirements. Recent studies using decomposition methods suggest that this control might be facilitated by activating synergies organized at the level of the spinal cord. However, it is difficult to directly relate these mathematically defined synergies to the patterns of electromyographic activity observed in the original recordings. To address this issue, we have used a novel cluster analysis to make a detailed study of the organization of the synergistic patterns of muscle activity observed in the fore- and hindlimb during treadmill locomotion. The results show that the activity of a large number of forelimb muscles (26 bursts of activity from 18 muscles) can be grouped into 11 clusters on the basis of synchronous co-activation. Nine (9/11) of these clusters defined muscle activity during the swing phase of locomotion; these clusters were distributed in a sequential manner and were related to discrete behavioral events. A comparison with the synergies identified by linear decomposition methods showed some striking similarities between the synergies identified by the different methods. In the hindlimb, a simpler organization was observed, and a sequential activation of muscles similar to that observed in the forelimb during swing was less clear. We suggest that this organization of synergistic muscles provides a means by which descending signals could provide the detailed control of different muscle groups that is necessary for the flexible control of multi-articular movements.

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Year:  2006        PMID: 16823029     DOI: 10.1152/jn.00241.2006

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


  60 in total

1.  Pyramidal tract neurons receptive to different forelimb joints act differently during locomotion.

Authors:  Erik E Stout; Irina N Beloozerova
Journal:  J Neurophysiol       Date:  2012-01-11       Impact factor: 2.714

2.  Motoneuronal and muscle synergies involved in cat hindlimb control during fictive and real locomotion: a comparison study.

Authors:  Sergey N Markin; Michel A Lemay; Boris I Prilutsky; Ilya A Rybak
Journal:  J Neurophysiol       Date:  2011-12-21       Impact factor: 2.714

3.  Task-level feedback can explain temporal recruitment of spatially fixed muscle synergies throughout postural perturbations.

Authors:  Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2011-09-28       Impact factor: 2.714

4.  Preferred locomotor phase of activity of lumbar interneurons during air-stepping in subchronic spinal cats.

Authors:  Nicholas AuYong; Karen Ollivier-Lanvin; Michel A Lemay
Journal:  J Neurophysiol       Date:  2010-11-17       Impact factor: 2.714

5.  Known and unexpected constraints evoke different kinematic, muscle, and motor cortical neuron responses during locomotion.

Authors:  Erik E Stout; Mikhail G Sirota; Irina N Beloozerova
Journal:  Eur J Neurosci       Date:  2015-10-24       Impact factor: 3.386

6.  Similar Motor Cortical Control Mechanisms for Precise Limb Control during Reaching and Locomotion.

Authors:  Sergiy Yakovenko; Trevor Drew
Journal:  J Neurosci       Date:  2015-10-28       Impact factor: 6.167

7.  Accurate stepping on a narrow path: mechanics, EMG, and motor cortex activity in the cat.

Authors:  Brad J Farrell; Margarita A Bulgakova; Mikhail G Sirota; Boris I Prilutsky; Irina N Beloozerova
Journal:  J Neurophysiol       Date:  2015-09-09       Impact factor: 2.714

8.  Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans.

Authors:  Jinsook Roh; William Z Rymer; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-01-25       Impact factor: 2.714

9.  Motor primitives are determined in early development and are then robustly conserved into adulthood.

Authors:  Qi Yang; David Logan; Simon F Giszter
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-28       Impact factor: 11.205

10.  Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke.

Authors:  David J Clark; Lena H Ting; Felix E Zajac; Richard R Neptune; Steven A Kautz
Journal:  J Neurophysiol       Date:  2009-12-09       Impact factor: 2.714

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