Evidence map›Paper›PMID 39576986›Full record

ArticleJMIR research protocols2024

Improvement of Motor Imagination and Manual Ability Through Virtual Reality and Selective and Nonselective Functional Electrical Stimulation: Protocol for a Randomized Controlled Trial.

Montserrat Santamaría-Vázquez, J Hilario Ortiz-Huerta, Aitor Martín-Odriozola, Olalla Saiz-Vazquez

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06109025 (Improvement of Motor Imaginative Ability Through Functional Electrical Stimulation), which is not on this 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.

NCT06109025 early_phase1completednot on this map

Improvement of Motor Imaginative Ability Through Functional Electrical Stimulation

TypeinterventionalSponsorUniversidad de BurgosRan2023 to 2024Enrolled81ConditionsElectrode Site Reaction, Therapy, Directly ObservedArmsFESIA GRASP, VIRTUAL REHAB, GLOBUS ELITE
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

4 authors.

Montserrat Santamaría-VázquezHealth Sciences Department, Universidad de Burgos, Burgos, Spain.ORCID 0000-0003-3236-3394
J Hilario Ortiz-HuertaHealth Sciences Department, Universidad de Burgos, Burgos, Spain.ORCID 0000-0002-5729-368X
Aitor Martín-OdriozolaFesia Clinic, Donostia-San Sebastián, Spain.ORCID 0000-0003-3495-9247
Olalla Saiz-VazquezHealth Sciences Department, Universidad de Burgos, Burgos, Spain.ORCID 0000-0003-3602-332X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMotor imagery (MI) is a cognitive process that has been shown to be useful in the rehabilitation process after brain injury. Moreover, functional electrical stimulation (FES) and virtual reality (VR) have also been shown to be effective interventions in many parameters, and there is some evidence of their contribution to the improvement of MI capacity.

objectiveThis study aimed to compare the improvements in MI parameters, grip strength, and manual dexterity obtained using VR, FES, and selective FES based on multifield electrodes in healthy people.

methodsThis clinical randomized controlled trial (RCT)with 4 branches will involve 80 healthy university students, with blinded third-party assessment. Participants will be divided into 4 groups: control (no intervention), selective FES (Fesia Grasp), traditional FES (Globus Elite), and Virtual Rehab Hands (Leap Motion sensor). Each group will receive 5 daily sessions, and assessments will be conducted at baseline, postintervention, and follow-up. The Movement Imagery Questionnaire-Revised (MIQ-RS) and chronometry will be used to assess MI, strength will be measured with a digital dynamometer, and manual dexterity will be evaluated with the Nine Hole Peg Test (NHPT) and the Box and Block Test (BBT). Statistical analyses will include 2-way repeated-measures ANOVA with post hoc Bonferroni correction to compare group differences over time, with nonparametric tests (eg, Kruskal-Wallis) being used if normality or variance assumptions are violated. The study will be organized into 3 phases: preparation, data collection, and analysis. The preparation phase will involve finalizing project protocols and obtaining ethical approvals. The data collection phase will consist of recruiting participants, randomizing them into 4 intervention groups, and conducting baseline assessments, followed by intervention sessions. Finally, the analysis phase will focus on evaluating the data collected from all groups and compiling the results for presentation.

resultsThe study received approval in July 2023, with recruitment and data collection starting in September 2023. The recruitment phase was expected to conclude by July 2024, and the entire study, including the 2-week follow-up, was set to finish in September 2024. As of July 2024, we had enrolled 100% of the sample (N=80 students). We plan to publish the study findings by the end of 2024.

conclusionsImprovements in MI and upper limb functionality are expected, particularly in the selective FES group. This RCT will identify which intervention is most effective in enhancing these skills, with potential benefits for patients with neurological motor disorders.

trial registrationClinicalTrials.gov NCT06109025; https://clinicaltrials.gov/study/NCT06109025. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63329.

Indexed as

ImaginationVirtual RealityAdultElectric StimulationElectric Stimulation TherapyFemaleHumansMaleMulticenter Studies as TopicRandomized Controlled Trials as TopicYoung Adultelectric stimulation therapyhand injurieshand strengthmotor imageryvirtual reality exposure therapy

Identifiers

PMID39576986
PMCPMC11624442

What OpenQuestion holds

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Registered trials

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.