Evidence map›Paper›PMID 34369926›Full record

ArticleJournal of visualized experiments : JoVE2021

Standing Neurophysiological Assessment of Lower Extremity Muscles Post-Stroke.

John Harvey Kindred, Christian Finetto, Jasmine Jamilah Cash, Mark Goodman Bowden

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 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
0.3field-weighted citation impact, top 44% 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, 3 citations in OpenAlex.

  1. Trial
  2. 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

4 authors at 2 institutions in 1 country.

John Harvey KindredDepartment of Research and Development, Ralph H. Johnson Veterans Administration Medical Center; College of Health Professions, Department of Rehabilitation Sciences, Division of Physical Therapy, Medical University of South Carolina; kindred@musc.edu.
Christian FinettoCollege of Health Professions, Department of Health Sciences and Research, Medical University of South Carolina.
Jasmine Jamilah CashCollege of Health Professions, Department of Health Sciences and Research, Medical University of South Carolina.
Mark Goodman BowdenDepartment of Research and Development, Ralph H. Johnson Veterans Administration Medical Center; College of Health Professions, Department of Rehabilitation Sciences, Division of Physical Therapy, Medical University of South Carolina; College of Health Professions, Department of Health Sciences and Research, Medical University of South Carolina; bowdenm@musc.edu.
Medical University of South Carolina · USUnited States Department of Veterans Affairs · US

Funding

Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Techniques DevelopmentP2CHD086844 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI THOMPSON, AIKO · 2015 to 2024
$12.7M
NICHD NIH HHS P2C HD086844NIGMS NIH HHS P20 GM109040RRD VA I01 RX002665RRD VA IK1 RX003126
6 · The paper itself

Abstract

Transcranial magnetic stimulation (TMS) is a common tool used to measure the behavior of motor circuits in healthy and neurologically impaired populations. TMS is used extensively to study motor control and the response to neurorehabilitation of the upper extremities. However, TMS has been less utilized in the study of lower extremity postural and walking-specific motor control. The limited use and the additional methodological challenges of lower extremity TMS assessments have contributed to the lack of consistency in lower extremity TMS procedures within the literature. Inspired by the decreased ability to record lower extremity TMS motor evoked potentials (MEP), this methodological report details steps to enable post-stroke TMS assessments in a standing posture. The standing posture allows for the activation of the neuromuscular system, reflecting a state more akin to the system's state during postural and walking tasks. Using dual-top force plates, we instructed participants to equally distribute their weight between their paretic and non-paretic legs. Visual feedback of the participants' weight distribution was provided. Using image guidance software, we delivered single TMS pulses via a double-cone coil to the participants' lesioned and non-lesioned hemispheres and measured the corticomotor response of the paretic and non-paretic tibialis anterior and soleus muscles. Performing assessments in the standing position increased the TMS response rate and allowed for the use of the lower stimulation intensities compared to the standard sitting/resting position. Utilization of this TMS protocol can provide a common approach to assess the lower extremity corticomotor response post-stroke when the neurorehabilitation of postural and gait impairments are of interest.

Indexed as

Motor CortexStrokeEvoked Potentials, MotorHumansLower ExtremityMuscle, SkeletalStanding PositionTranscranial Magnetic Stimulation

Identifiers

PMID34369926
PMCPMC8867901
OpenAlexW3186351447

What OpenQuestion holds

Textmetadata
LicenceTDM
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.