Evidence map›Paper›PMID 28356467›Full record

ReviewJournal of neurophysiology2017

The potential for understanding the synaptic organization of human motor commands via the firing patterns of motoneurons.

Michael D Johnson, Christopher K Thompson, Vicki M Tysseling, Randall K Powers, Charles J Heckman

Abstract readReview
In one paragraph

Review in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
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

39 citing papers in PubMed.

  1. 5-HTThe Journal of physiology · 2025
    Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. An update on spinal cord injury and diaphragm neuromotor control.Expert review of respiratory medicine · 2025
    Review
  7. A novel protocol to investigate the monoaminergic relationship between descending nociceptive and motor unit neuromodulation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Relationships among motor unit discharge parameters used to estimate synaptic inputs to motoneurons.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
    Article
  15. Disuse-Induced Muscle Fatigue: Facts and Assumptions.International journal of molecular sciences · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Michael D JohnsonDepartment of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; m-johnson16@northwestern.edu.
Christopher K ThompsonDepartment of Physical Therapy, Temple University, Philadelphia, Pennsylvania; and.
Vicki M TysselingDepartment of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Randall K PowersDepartment of Physiology and Biophysics, University of Washington, Seattle, Washington.
Charles J HeckmanDepartment of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Funding

Motoneuron Properties in Chronic Spinal InjuryR01NS047567 · NINDS · UNIVERSITY OF ALBERTA · PI BENNETT, DAVID JAMES, FOUAD, KARIM · 2004 to 2020
$4.0M
Mechanisms of Distorted Inputs in Chronic Spinal InjuryR01NS089313 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HECKMAN, CHARLES · 2014 to 2018
$1.7M
Reverse Engineering Motor Unit Discharge PatternsR01NS085331 · NINDS · UNIVERSITY OF WASHINGTON · PI HECKMAN, CHARLES, POWERS, RANDALL K · 2014 to 2018
$1.7M
Effect of Injury Severity and Location on Spasms Post SCIK01HD084672 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI TYSSELING, VICKI M · 2015 to 2019
$653k
NICHD NIH HHS K01 HD084672NINDS NIH HHS R01 NS047567NINDS NIH HHS R01 NS085331NINDS NIH HHS R01 NS089313
6 · The paper itself

Abstract

Motoneurons are unique in being the only neurons in the CNS whose firing patterns can be easily recorded in human subjects. This is because of the one-to-one relationship between the motoneuron and muscle cell behavior. It has long been appreciated that the connection of motoneurons to their muscle fibers allows their action potentials to be amplified and recorded, but only recently has it become possible to simultaneously record the firing pattern of many motoneurons via array electrodes placed on the skin. These firing patterns contain detailed information about the synaptic organization of motor commands to the motoneurons. This review focuses on parameters in these firing patterns that are directly linked to specific features of this organization. It is now well established that motor commands consist of three components, excitation, inhibition, and neuromodulation; the importance of the third component has become increasingly evident. Firing parameters linked to each of the three components are discussed, along with consideration of potential limitations in their utility for understanding the underlying organization of motor commands. Future work based on realistic computer simulations of motoneurons may allow quantitative "reverse engineering" of human motoneuron firing patterns to provide good estimates of the relative amplitudes and temporal patterns of all three components of motor commands.

Indexed as

Action PotentialsHumansMotor ActivityMotor NeuronsMovementMuscle, SkeletalNeural PathwaysSynapseselectrode arraymotoneuronmotor unit

Identifiers

PMID28356467
PMCPMC5511870

What OpenQuestion holds

Textmetadata
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.