Evidence map›Paper›PMID 28124070›Full record

ArticleAmerican journal of speech-language pathology2017

Integration of Motor Learning Principles Into Real-Time Ambulatory Voice Biofeedback and Example Implementation Via a Clinical Case Study With Vocal Fold Nodules.

Jarrad H Van Stan, Daryush D Mehta, Robert J Petit, Dagmar Sternad, Jason Muise, James A Burns, Robert E Hillman

Abstract readCase Reports
In one paragraph

Article in American journal of speech-language pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Practice Parameters That Influence Vocal Motor Adaptation in Altered Auditory Feedback Paradigms.Journal of speech, language, and hearing research : JSLHR · 2026
    Article
  5. Article
  6. Glottal Airflow Estimation using Neck Surface Acceleration and Low-Order Kalman Smoothing.IEEE/ACM transactions on audio, speech, and language processing · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Building a Successful Voice Telepractice Program.Perspectives of the ASHA special interest groups · 2019
    Article
  13. Article
  14. Measuring vocal motor skill with a virtual voice-controlled slingshot.The Journal of the Acoustical Society of America · 2017
    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

7 authors.

Jarrad H Van StanMassachusetts General Hospital, BostonMGH Institute of Health Professions, Boston, MA.
Daryush D MehtaMassachusetts General Hospital, BostonMGH Institute of Health Professions, Boston, MAHarvard Medical School, Boston, MA.
Robert J PetitIndependent Scholar, Boston, MA.
Dagmar SternadNortheastern University, Boston, MA.
Jason MuiseMassachusetts General Hospital, Boston.
James A BurnsMassachusetts General Hospital, BostonHarvard Medical School, Boston, MA.
Robert E HillmanMassachusetts General Hospital, BostonMGH Institute of Health Professions, Boston, MAHarvard Medical School, Boston, MA.

Funding

Ambulatory monitoring of vocal function to improve voice disorder assessmentR33DC011588 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI HILLMAN, ROBERT E · 2012 to 2015
$2.3M
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
NIDCD NIH HHS F31 DC014412NIDCD NIH HHS R33 DC011588
6 · The paper itself

Abstract

purposeAmbulatory voice biofeedback (AVB) has the potential to significantly improve voice therapy effectiveness by targeting one of the most challenging aspects of rehabilitation: carryover of desired behaviors outside of the therapy session. Although initial evidence indicates that AVB can alter vocal behavior in daily life, retention of the new behavior after biofeedback has not been demonstrated. Motor learning studies repeatedly have shown retention-related benefits when reducing feedback frequency or providing summary statistics. Therefore, novel AVB settings that are based on these concepts are developed and implemented.

methodThe underlying theoretical framework and resultant implementation of innovative AVB settings on a smartphone-based voice monitor are described. A clinical case study demonstrates the functionality of the new relative frequency feedback capabilities.

resultsWith new technical capabilities, 2 aspects of feedback are directly modifiable for AVB: relative frequency and summary feedback. Although reduced-frequency AVB was associated with improved carryover of a therapeutic vocal behavior (i.e., reduced vocal intensity) in a patient post-excision of vocal fold nodules, causation cannot be assumed.

conclusionsTiming and frequency of AVB schedules can be manipulated to empirically assess generalization of motor learning principles to vocal behavior modification and test the clinical effectiveness of AVB with various feedback schedules.

Indexed as

Ambulatory CareMobile ApplicationsSmartphoneVoice TrainingAccelerometryAdultBiofeedback, PsychologyDysphoniaEquipment DesignFemaleHumansLaryngeal DiseasesPolypsSound SpectrographyTherapy, Computer-AssistedUser-Computer Interface

Identifiers

PMID28124070
PMCPMC5533549

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.