Evidence map›Paper›PMID 38041164›Full record

ArticleJournal of neuroengineering and rehabilitation2023

Spatial mapping of posture-dependent resistance to passive displacement of the hypertonic arm post-stroke.

Priyanka Kanade-Mehta, Maria Bengtson, Tina Stoeckmann, John McGuire, Claude Ghez, Robert A Scheidt

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2023. 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
1.1field-weighted citation impact, top 21% 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, 9 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

6 authors at 3 institutions in 1 country.

Priyanka Kanade-MehtaJoint Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Engineering Hall, Rm 342, P.O. Box 1881, Milwaukee, WI, 53201-1881, USA.
Maria BengtsonJoint Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Engineering Hall, Rm 342, P.O. Box 1881, Milwaukee, WI, 53201-1881, USA.
Tina StoeckmannDepartment of Physical Therapy, Marquette University, Milwaukee, USA.
John McGuireDepartment of Physical Medicine and Rehabilitation, Medical College of Wisconsin, Milwaukee, USA.
Claude GhezDepartment of Neuroscience, Neurology, and Physiology, Columbia University Medical Center, New York, USA.
Robert A ScheidtJoint Department of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Engineering Hall, Rm 342, P.O. Box 1881, Milwaukee, WI, 53201-1881, USA. scheidt@ieee.org.
Medical College of Wisconsin · USMarquette University · USColumbia University Irving Medical Center · US

Funding

Control of Arm Posture and Movement Followoing StrokeR01HD053727 · NICHD · MARQUETTE UNIVERSITY · PI SCHEIDT, ROBERT A. · 2008 to 2012
$1.5M
Augmenting kinesthetic feedback to improve hemiparetic arm control after strokeR15HD093086 · NICHD · MARQUETTE UNIVERSITY · PI SCHEIDT, ROBERT A. · 2017 to 2021
$897k
NICHD NIH HHS R01 HD053727NICHD NIH HHS R15 HD093086
6 · The paper itself

Abstract

backgroundMuscles in the post-stroke arm commonly demonstrate abnormal reflexes that result in increased position- and velocity-dependent resistance to movement. We sought to develop a reliable way to quantify mechanical consequences of abnormal neuromuscular mechanisms throughout the reachable workspace in the hemiparetic arm post-stroke.

methodsSurvivors of hemiparetic stroke (HS) and neurologically intact (NI) control subjects were instructed to relax as a robotic device repositioned the hand of their hemiparetic arm between several testing locations that sampled the arm's passive range of motion. During transitions, the robot induced motions at either the shoulder or elbow joint at three speeds: very slow (6°/s), medium (30°/s), and fast (90°/s). The robot held the hand at the testing location for at least 20 s after each transition. We recorded and analyzed hand force and electromyographic activations from selected muscles spanning the shoulder and elbow joints during and after transitions.

resultsHand forces and electromyographic activations were invariantly small at all speeds and all sample times in NI control subjects but varied systematically by transport speed during and shortly after movement in the HS subjects. Velocity-dependent resistance to stretch diminished within 2 s after movement ceased in the hemiparetic arms. Hand forces and EMGs changed very little from 2 s after the movement ended onward, exhibiting dependence on limb posture but no systematic dependence on movement speed or direction. Although each HS subject displayed a unique field of hand forces and EMG responses across the workspace after movement ceased, the magnitude of steady-state hand forces was generally greater near the outer boundaries of the workspace than in the center of the workspace for the HS group but not the NI group.

conclusionsIn the HS group, electromyographic activations exhibited abnormalities consistent with stroke-related decreases in the stretch reflex thresholds. These observations were consistent across repeated testing days. We expect that the approach described here will enable future studies to elucidate stroke's impact on the interaction between the neural mechanisms mediating control of upper extremity posture and movement during goal-directed actions such as reaching and pointing with the arm and hand.

Indexed as

Elbow JointStrokeArmElectromyographyHumansMovementMuscle, SkeletalPostureElbowElectromyographyHypertoniaPassive stretchShoulderTonic stretch reflexVelocity-dependent torque response

Identifiers

PMID38041164
PMCPMC10693118
OpenAlexW4389248066

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Registered trials

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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.