Literature DB >> 32031425

Analysis of fiber strain in the human tongue during speech.

Arnold D Gomez1, Maureen L Stone2, Jonghye Woo3, Fangxu Xing3, Jerry L Prince4.   

Abstract

This study investigates mechanical cooperation among tongue muscles. Five volunteers were imaged using tagged magnetic resonance imaging to quantify spatiotemporal kinematics while speaking. Waveforms of strain in the line of action of fibers (SLAF) were estimated by projecting strain tensors onto a model of fiber directionality. SLAF waveforms were temporally aligned to determine consistency across subjects and correlation across muscles. The cohort exhibited consistent patterns of SLAF, and muscular extension-contraction was correlated. Volume-preserving tongue movement in speech generation can be achieved through multiple paths, but the study reveals similarities in motion patterns and muscular action-despite anatomical (and other) dissimilarities.

Entities:  

Keywords:  Finite strain; myofiber strain; speech; tagged MRI; tongue motion

Mesh:

Year:  2020        PMID: 32031425      PMCID: PMC8744002          DOI: 10.1080/10255842.2020.1722808

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  32 in total

1.  Influences of tongue biomechanics on speech movements during the production of velar stop consonants: a modeling study.

Authors:  Pascal Perrier; Yohan Payan; Majid Zandipour; Joseph Perkell
Journal:  J Acoust Soc Am       Date:  2003-09       Impact factor: 1.840

2.  Three-dimensional architecture of the intrinsic tongue muscles, particularly the longitudinal muscle, by the chemical-maceration method.

Authors:  Hiroshi Saito; Ichizoh Itoh
Journal:  Anat Sci Int       Date:  2003-09       Impact factor: 1.741

Review 3.  A guide to analysing tongue motion from ultrasound images.

Authors:  Maureen Stone
Journal:  Clin Linguist Phon       Date:  2005 Sep-Nov       Impact factor: 1.346

4.  Fast tracking of cardiac motion using 3D-HARP.

Authors:  Li Pan; Jerry L Prince; João A C Lima; Nael F Osman
Journal:  IEEE Trans Biomed Eng       Date:  2005-08       Impact factor: 4.538

5.  Measuring tongue motion from tagged cine-MRI using harmonic phase (HARP) processing.

Authors:  Vijay Parthasarathy; Jerry L Prince; Maureen Stone; Emi Z Murano; Moriel Nessaiver
Journal:  J Acoust Soc Am       Date:  2007-01       Impact factor: 1.840

6.  Genioglossus and intrinsic electromyographic activities in impeded and unimpeded protrusion tasks.

Authors:  Lora J Pittman; E Fiona Bailey
Journal:  J Neurophysiol       Date:  2008-11-05       Impact factor: 2.714

7.  A control model of human tongue movements in speech.

Authors:  V Sanguineti; R Laboissière; Y Payan
Journal:  Biol Cybern       Date:  1997-07       Impact factor: 2.086

8.  Automatic prediction of tongue muscle activations using a finite element model.

Authors:  Ian Stavness; John E Lloyd; Sidney Fels
Journal:  J Biomech       Date:  2012-09-25       Impact factor: 2.712

9.  A High-resolution Atlas and Statistical Model of the Vocal Tract from Structural MRI.

Authors:  Jonghye Woo; Junghoon Lee; Emi Z Murano; Fangxu Xing; Meena Al-Talib; Maureen Stone; Jerry L Prince
Journal:  Comput Methods Biomech Biomed Eng Imaging Vis       Date:  2015

10.  Three-dimensional residual strain in midanterior canine left ventricle.

Authors:  K D Costa; K May-Newman; D Farr; W G O'Dell; A D McCulloch; J H Omens
Journal:  Am J Physiol       Date:  1997-10
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  1 in total

1.  Multimodal dataset of real-time 2D and static 3D MRI of healthy French speakers.

Authors:  Karyna Isaieva; Yves Laprie; Justine Leclère; Ioannis K Douros; Jacques Felblinger; Pierre-André Vuissoz
Journal:  Sci Data       Date:  2021-10-01       Impact factor: 6.444

  1 in total

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