Evidence map›Paper›PMID 33285082›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2021

Quantitative Assessment of Learning and Retention in Virtual Vocal Function Exercises.

Jarrad H Van Stan, Se-Woong Park, Matthew Jarvis, Joseph Stemple, Robert E Hillman, Dagmar Sternad

Open access · greenAbstract read
In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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 2 institutions in 1 country.

Jarrad H Van StanMassachusetts General Hospital, Boston.
Se-Woong ParkUniversity of Texas, San Antonio.
Matthew JarvisNewark, DE.
Joseph StempleUniversity of Kentucky, Lexington.
Robert E HillmanMassachusetts General Hospital, Boston.
Dagmar SternadNortheastern University, Boston, MA.
Google (United States) · USNortheastern University · US

Funding

Use of ambulatory biofeedback to improve behavioral treatment of vocal hyperfunctionP50DC015446 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI Jarrad Van Stan · 2017 to 2026
$25.5M
Multi-center trial of Augmented Sensory Feedback in Children with Dyskinetic CPR01HD081346 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SANGER, TERENCE D · 2015 to 2019
$2.5M
Ambulatory monitoring of vocal function to improve voice disorder assessmentR33DC011588 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI HILLMAN, ROBERT E · 2012 to 2015
$2.3M
CRCNS Research Proposal: Collaborative Research: Neural Basis of Motor ExpertiseR01NS120579 · NINDS · NORTHEASTERN UNIVERSITY · PI BATISTA, AARON PAUL, STERNAD, DAGMAR · 2020 to 2025
$2.0M
Predictability in Complex Object ControlR01HD087089 · NICHD · NORTHEASTERN UNIVERSITY · PI STERNAD, DAGMAR · 2015 to 2020
$1.8M
The Influence of Ambulatory Biofeedback Schedules on the Retention of a Vocal Motor behaviorF31DC014412 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI VAN STAN, JARRAD · 2014 to 2015
$54k
NICHD NIH HHS R01 HD081346NICHD NIH HHS R01 HD087089NIDCD NIH HHS F31 DC014412NIDCD NIH HHS P50 DC015446NIDCD NIH HHS R33 DC011588NINDS NIH HHS R01 NS120579
6 · The paper itself

Abstract

Purpose Successful voice therapy requires the patient to learn new vocal behaviors, but little is currently known regarding how vocal motor skills are improved and retained. To quantitatively characterize the motor learning process in a clinically meaningful context, a virtual task was developed based on the Vocal Function Exercises. In the virtual task, subjects control a computational model of a ball floating on a column of airflow via modifications to mean airflow (L/s) and intensity (dB-C) to keep the ball within a target range representing a normative ratio (dB × s/L). Method One vocally healthy female and one female with nonphonotraumatic vocal hyperfunction practiced the task for 11 days and completed retention testing 1 and 6 months later. The mapping between the two execution variables (airflow and intensity) and one error measure (proximity to the normative ratio) was evaluated by quantifying distributional variability (tolerance cost and noise cost) and temporal variability (scaling index of detrended fluctuation analysis). Results Both subjects reduced their error over practice and retained their performance 6 months later. Tolerance cost and noise cost were positively correlated with decreases in error during early practice and late practice, respectively. After extended practice, temporal variability was modulated to align with the task's solution manifold. Conclusions These case studies illustrated, in a healthy control and a patient with nonphonotraumatic vocal hyperfunction, that the virtual floating ball task produces quantitative measures characterizing the learning process. Future work will further investigate the task's potential to enhance clinical assessment and treatments involving voice control. Supplemental Material https://doi.org/10.23641/asha.13322891.

Indexed as

VoiceVoice TrainingExerciseFemaleHumansLearningMotor Skills

Identifiers

PMID33285082
PMCPMC8608156
OpenAlexW3112176806

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.