Evidence map›Paper›PMID 28599561›Full record

ArticleThe Journal of the Acoustical Society of America2017

Test-retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging.

Johannes Töger, Tanner Sorensen, Krishna Somandepalli, Asterios Toutios, Sajan Goud Lingala, Shrikanth Narayanan, Krishna Nayak

Abstract readVideo-Audio Media
In one paragraph

Article in The Journal of the Acoustical Society of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Improved real-time tagged MRI using REALTAG.Magnetic resonance in medicine · 2020
    Article
  5. Article
  6. Article
  7. Task-dependence of articulator synergies.The Journal of the Acoustical Society of America · 2019
    Article
  8. 3D dynamic MRI of the vocal tract during natural speech.Magnetic resonance in medicine · 2019
    Article
  9. Article
  10. Article
  11. 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.

Johannes TögerMing Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, California 90089-2560, USA.
Tanner SorensenMing Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, California 90089-2560, USA.
Krishna SomandepalliMing Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, California 90089-2560, USA.
Asterios ToutiosMing Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, California 90089-2560, USA.
Sajan Goud LingalaMing Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, California 90089-2560, USA.
Shrikanth NarayananMing Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, California 90089-2560, USA.
Krishna NayakMing Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Avenue, EEB 400, Los Angeles, California 90089-2560, USA.

Funding

DYNAMICS OF VOCAL TRACT SHAPINGR01DC007124 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NARAYANAN, SHRIKANTH · 2005 to 2020
$6.1M
Training in Hearing & Communication NeuroscienceT32DC009975 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christopher A Shera · 2009 to 2026
$5.0M
NIDCD NIH HHS R01 DC007124NIDCD NIH HHS T32 DC009975
6 · The paper itself

Abstract

Static anatomical and real-time dynamic magnetic resonance imaging (RT-MRI) of the upper airway is a valuable method for studying speech production in research and clinical settings. The test-retest repeatability of quantitative imaging biomarkers is an important parameter, since it limits the effect sizes and intragroup differences that can be studied. Therefore, this study aims to present a framework for determining the test-retest repeatability of quantitative speech biomarkers from static MRI and RT-MRI, and apply the framework to healthy volunteers. Subjects (n = 8, 4 females, 4 males) are imaged in two scans on the same day, including static images and dynamic RT-MRI of speech tasks. The inter-study agreement is quantified using intraclass correlation coefficient (ICC) and mean within-subject standard deviation (σ

Indexed as

Magnetic Resonance ImagingSpeechAcousticsAdultAnatomic LandmarksBiomechanical PhenomenaFemaleHumansLarynxMaleMouthPharynxPredictive Value of TestsReproducibility of ResultsSpeech Production MeasurementTime Factors

Identifiers

PMID28599561
PMCPMC5436977

What OpenQuestion holds

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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.