Evidence map›Paper›PMID 39475492›Full record

ArticleJournal of neurophysiology2024

Gravity support from a robotic exoskeleton increases spontaneous use of the nondominant upper extremity during a choice reaching task.

Seraphina A Culp, Shawn J DiRocco, Alexander T Brunfeldt, Rafael Casas, Peter S Lum

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Seraphina A CulpDepartment of Biomedical Engineering, The Catholic University of America, Washington, District of Columbia, United States.
Shawn J DiRoccoDepartment of Biomedical Engineering, The Catholic University of America, Washington, District of Columbia, United States.
Alexander T BrunfeldtDepartment of Rehabilitation Medicine, Georgetown University, Washington, District of Columbia, United States.ORCID 0000-0001-7589-5054
Rafael CasasDepartment of Biomedical Engineering, The Catholic University of America, Washington, District of Columbia, United States.ORCID 0000-0002-7977-9840
Peter S LumDepartment of Biomedical Engineering, The Catholic University of America, Washington, District of Columbia, United States.ORCID 0000-0002-4735-6114

Funding

HHS | Administration for Community Living (ACL) REMM20000006
6 · The paper itself

Abstract

The objective was to determine whether gravity support for the left arm of right-handed participants would increase left arm use during a three-dimensional (3-D) reaching task in virtual reality. Twelve healthy control participants each completed 630 reaching movements broken into six blocks. The majority of targets were placed close to the midsagittal plane at three heights, and participants were free to use either limb when reaching for targets. The hand had to stay in the target for a prescribed dwell time before the target disappeared. For all reaching tasks within a block, the left arm gravity support was set to either 0% or 75% of full arm support. The blocks also varied in the dwell time (2, 4, or 6 s). The order of blocks was balanced across participants in terms of gravity support level and dwell time. Electromyogram (EMG) level in the left medial deltoid decreased with increasing gravity support (

Indexed as

ArmExoskeleton DeviceGravitationTask Performance and AnalysisAdultChoice BehaviorFemaleHumansLogistic ModelsMaleSelf ReportYoung Adultgravity supportlimb choiceroboticsstroke rehabilitationvirtual reality

Identifiers

PMID39475492
PMCPMC11687852

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.