Evidence map›Paper›PMID 26500531›Full record

ArticleFrontiers in computational neuroscience2015

Coordinated alpha and gamma control of muscles and spindles in movement and posture.

Si Li, Cheng Zhuang, Manzhao Hao, Xin He, Juan C Marquez, Chuanxin M Niu, Ning Lan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Fascial organisation of motor synergies: a hypothesis.European journal of translational myology · 2019
    Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 3 countries.

Si LiSchool of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University Shanghai, China.
Cheng ZhuangSchool of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University Shanghai, China.
Manzhao HaoSchool of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University Shanghai, China.
Xin HeSchool of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University Shanghai, China.
Juan C MarquezSchool of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University Shanghai, China ; School of Technology and Health, Royal Institute of Technology Stockholm, Sweden.
Chuanxin M NiuDepartment of Rehabilitation, Ruijin Hospital of School of Medicine, Shanghai Jiao Tong University Shanghai, China.
Ning LanSchool of Biomedical Engineering, Med-X Research Institute, Shanghai Jiao Tong University Shanghai, China ; Division of Biokinesiology and Physical Therapy, University of Southern California Los Angeles, CA, USA.
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mounting evidence suggests that both α and γ motoneurons are active during movement and posture, but how does the central motor system coordinate the α-γ controls in these tasks remains sketchy due to lack of in vivo data. Here a computational model of α-γ control of muscles and spindles was used to investigate α-γ integration and coordination for movement and posture. The model comprised physiologically realistic spinal circuitry, muscles, proprioceptors, and skeletal biomechanics. In the model, we divided the cortical descending commands into static and dynamic sets, where static commands (α s and γ s ) were for posture maintenance and dynamic commands (α d and γ d ) were responsible for movement. We matched our model to human reaching movement data by straightforward adjustments of descending commands derived from either minimal-jerk trajectories or human EMGs. The matched movement showed smooth reach-to-hold trajectories qualitatively close to human behaviors, and the reproduced EMGs showed the classic tri-phasic patterns. In particular, the function of γ d was to gate the α d command at the propriospinal neurons (PN) such that antagonistic muscles can accelerate or decelerate the limb with proper timing. Independent control of joint position and stiffness could be achieved by adjusting static commands. Deefferentation in the model indicated that accurate static commands of α s and γ s are essential to achieve stable terminal posture precisely, and that the γ d command is as important as the α d command in controlling antagonistic muscles for desired movements. Deafferentation in the model showed that losing proprioceptive afferents mainly affected the terminal position of movement, similar to the abnormal behaviors observed in human and animals. Our results illustrated that tuning the simple forms of α-γ commands can reproduce a range of human reach-to-hold movements, and it is necessary to coordinate the set of α-γ descending commands for accurate and stable control of movement and posture.

Indexed as

computational modelingmovement and posturemuscle and spindlepropriospinal neuronssimulationspinal circuitsα-γ motor system

Identifiers

PMID26500531
PMCPMC4598585
OpenAlexW1875416194

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.