Evidence map›Paper›PMID 38166962›Full record

ArticleJournal of neuroengineering and rehabilitation2024

Statistical evaluation of tongue capability with visual feedback.

Veronica Bratland, Kyle Coda, Mohamad Merei, Leila Ahmadian, Edna M Babbitt, James L Patton, Hananeh Esmailbeigi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 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

7 authors.

Veronica Bratland *Department of Biomedical Engineering, University of Illinois at Chicago, 218 SEO, 851 South Morgan Street, Chicago, IL, 60607, USA.
Kyle Coda *Department of Biomedical Engineering, University of Illinois at Chicago, 218 SEO, 851 South Morgan Street, Chicago, IL, 60607, USA.
Mohamad MereiDepartment of Electrical & Computer Engineering, University of Illinois at Chicago, 851 South Morgan Street, Chicago, IL, 1020 SEO, 60607, USA.
Leila AhmadianDepartment of Restorative Dentistry, College of Dentistry, University of Illinois at Chicago, 801 S Paulina St, Chicago, IL, 60612, USA.
Edna M BabbittCenter for Aphasia Research and Treatment, Shirley Ryan AbilityLab, 355 E Erie St, Chicago, IL, 60611, USA.
James L PattonDepartment of Biomedical Engineering, University of Illinois at Chicago, 218 SEO, 851 South Morgan Street, Chicago, IL, 60607, USA.
Hananeh EsmailbeigiDepartment of Biomedical Engineering, University of Illinois at Chicago, 218 SEO, 851 South Morgan Street, Chicago, IL, 60607, USA. hesmai2@uic.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalysis of tongue movement would benefit from a reference showcasing healthy tongue capability. We aimed to develop a reference of tongue capability and evaluated the role of visual feedback on the expression of movement.

methodsUsing a wireless tracking intraoral wearable device, we composed probability distributions of the tongue tip as subjects were asked to explore the entire sensing surface area. Half of the 32 subjects received live visual feedback of the location of the center of the tongue tip contact.

resultsWe observed that the visual feedback group was 51.0% more consistent with each other in the position domain, explored 21.5% more sensing surface area, and was 50.7% more uniformly distributed. We found less consistent results when we evaluated velocity and acceleration.

conclusionVisual feedback best established a healthy capability reference which can be used for designing new interfaces, quantifying tongue ability, developing new diagnostic and rehabilitation techniques, and studying underlying mechanisms of tongue motor control.

Indexed as

Feedback, SensoryTongueFeedbackHumansMovementDiagnostic and Rehabilitation techniquesIntraoral devicesMotor ControlMovement AnalysisProbability distribution analysisTongue MovementVisual feedbackWearable Technology

Identifiers

PMID38166962
PMCPMC10763040

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.