Evidence map›Paper›PMID 33935670›Full record

ArticleFrontiers in human neuroscience2021

Effects of Perturbation Velocity, Direction, Background Muscle Activation, and Task Instruction on Long-Latency Responses Measured From Forearm Muscles.

Jacob Weinman, Paria Arfa-Fatollahkhani, Andrea Zonnino, Rebecca C Nikonowicz, Fabrizio Sergi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Grip force makes wrist joint position sense worse.Frontiers in human neuroscience · 2023
    Article
  3. 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 at 1 institution in 1 country.

Jacob WeinmanHuman Robotics Laboratory, Department of Biomedical Engineering, University of Delaware, Newark, DE, United States.
Paria Arfa-FatollahkhaniHuman Robotics Laboratory, Department of Biomedical Engineering, University of Delaware, Newark, DE, United States.
Andrea ZonninoHuman Robotics Laboratory, Department of Biomedical Engineering, University of Delaware, Newark, DE, United States.
Rebecca C NikonowiczHuman Robotics Laboratory, Department of Biomedical Engineering, University of Delaware, Newark, DE, United States.
Fabrizio SergiHuman Robotics Laboratory, Department of Biomedical Engineering, University of Delaware, Newark, DE, United States.
University of Delaware · US

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI Gregory E Hicks · 2013 to 2026
$60.5M
StretchfMRI: a new technique to study the brainstem correlates of long-latency responsesR21NS111310 · NINDS · UNIVERSITY OF DELAWARE · PI SERGI, FABRIZIO · 2020 to 2020
$457k
NIGMS NIH HHS U54 GM104941NINDS NIH HHS R21 NS111310
6 · The paper itself

Abstract

The central nervous system uses feedback processes that occur at multiple time scales to control interactions with the environment. The long-latency response (LLR) is the fastest process that directly involves cortical areas, with a motoneuron response measurable 50 ms following an imposed limb displacement. Several behavioral factors concerning perturbation mechanics and the active role of muscles prior or during the perturbation can modulate the long-latency response amplitude (LLRa) in the upper limbs, but the interactions among many of these factors had not been systematically studied before. We conducted a behavioral study on thirteen healthy individuals to determine the effect and interaction of four behavioral factors - background muscle torque, perturbation direction, perturbation velocity, and task instruction - on the LLRa evoked from the flexor carpi radialis (FCR) and extensor carpi ulnaris (ECU) muscles after velocity-controlled wrist displacements. The effects of the four factors were quantified using both a 0D statistical analysis on the average perturbation-evoked EMG signal in the period corresponding to an LLR, and using a timeseries analysis of EMG signals. All factors significantly modulated LLRa, and their combination nonlinearly contributed to modulating the LLRa. Specifically, all the three-way interaction terms that could be computed without including the interaction between instruction and velocity significantly modulated the LLR. Analysis of the three-way interaction terms of the 0D model indicated that for the ECU muscle, the LLRa evoked when subjects are asked to maintain their muscle activation in response to the perturbations was greater than the one observed when subjects yielded to the perturbations (

Indexed as

electromyographylong latency responsesmotor neurophysiologyroboticsstretch reflex

Identifiers

PMID33935670
PMCPMC8085277
OpenAlexW3154263641

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.