Suppr超能文献

言语过程中人类舌头的纤维应变分析。

Analysis of fiber strain in the human tongue during speech.

作者信息

Gomez Arnold D, Stone Maureen L, Woo Jonghye, Xing Fangxu, Prince Jerry L

机构信息

Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Department of Neural and Pain Sciences, University of Maryland, Baltimore, MD, USA.

出版信息

Comput Methods Biomech Biomed Engin. 2020 Jun;23(8):312-322. doi: 10.1080/10255842.2020.1722808. Epub 2020 Feb 7.

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.

摘要

本研究调查了舌肌之间的力学协作。使用标记磁共振成像对五名志愿者进行成像,以量化说话时的时空运动学。通过将应变张量投影到纤维方向性模型上,估计纤维作用线(SLAF)中的应变波形。对SLAF波形进行时间对齐,以确定受试者之间的一致性和肌肉之间的相关性。该队列表现出一致的SLAF模式,且肌肉伸展-收缩具有相关性。在语音生成中,保持体积不变的舌运动可以通过多种途径实现,但该研究揭示了运动模式和肌肉作用的相似性——尽管存在解剖学(以及其他方面)的差异。

相似文献

1
Analysis of fiber strain in the human tongue during speech.
Comput Methods Biomech Biomed Engin. 2020 Jun;23(8):312-322. doi: 10.1080/10255842.2020.1722808. Epub 2020 Feb 7.
2
Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance Imaging.
J Speech Lang Hear Res. 2023 Feb 13;66(2):513-526. doi: 10.1044/2022_JSLHR-22-00329. Epub 2023 Jan 30.
3
Atlas-Based Tongue Muscle Correlation Analysis From Tagged and High-Resolution Magnetic Resonance Imaging.
J Speech Lang Hear Res. 2019 Jul 15;62(7):2258-2269. doi: 10.1044/2019_JSLHR-S-18-0495. Epub 2019 Jul 2.
4
Associating the mesoscale fiber organization of the tongue with local strain rate during swallowing.
J Biomech. 2008;41(8):1782-9. doi: 10.1016/j.jbiomech.2008.01.030. Epub 2008 May 5.
5
Measuring tongue motion from tagged cine-MRI using harmonic phase (HARP) processing.
J Acoust Soc Am. 2007 Jan;121(1):491-504. doi: 10.1121/1.2363926.
6
Similarities in the control of the speech articulators and the limbs: kinematics of tongue dorsum movement in speech.
J Exp Psychol Hum Percept Perform. 1983 Aug;9(4):622-36. doi: 10.1037//0096-1523.9.4.622.
9
Modeling tongue surface contours from Cine-MRI images.
J Speech Lang Hear Res. 2001 Oct;44(5):1026-40. doi: 10.1044/1092-4388(2001/081).
10
Single syllable tongue motion analysis using tagged cine MRI.
Comput Methods Biomech Biomed Engin. 2014;17(8):853-64. doi: 10.1080/10255842.2012.723697. Epub 2012 Oct 12.

引用本文的文献

2
Biomechanical and Cortical Control of Tongue Movements During Chewing and Swallowing.
Dysphagia. 2024 Feb;39(1):1-32. doi: 10.1007/s00455-023-10596-9. Epub 2023 Jun 16.
3
Measuring Strain in Diffusion-Weighted Data Using Tagged Magnetic Resonance Imaging.
Proc SPIE Int Soc Opt Eng. 2022 Feb-Mar;12032. doi: 10.1117/12.2610989. Epub 2022 Apr 4.
4
Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance Imaging.
J Speech Lang Hear Res. 2023 Feb 13;66(2):513-526. doi: 10.1044/2022_JSLHR-22-00329. Epub 2023 Jan 30.
5
Multimodal dataset of real-time 2D and static 3D MRI of healthy French speakers.
Sci Data. 2021 Oct 1;8(1):258. doi: 10.1038/s41597-021-01041-3.

本文引用的文献

1
Quantifying Tensor Field Similarity With Global Distributions and Optimal Transport.
Med Image Comput Comput Assist Interv. 2018 Sep;11071:428-436. doi: 10.1007/978-3-030-00934-2_48. Epub 2018 Sep 26.
2
Laplace-based modeling of fiber orientation in the tongue.
Biomech Model Mechanobiol. 2018 Aug;17(4):1119-1130. doi: 10.1007/s10237-018-1018-7. Epub 2018 Apr 19.
3
Subject-Specific Biomechanical Modelling of the Oropharynx: Towards Speech Production.
Comput Methods Biomech Biomed Eng Imaging Vis. 2017;5(6):416-426. doi: 10.1080/21681163.2015.1033756. Epub 2015 May 5.
4
Motion Estimation with Finite-Element Biomechanical Models and Tracking Constraints from Tagged MRI.
Comput Biomech Med Algorithms Models Appl (2017). 2017 May;2017:81-90. doi: 10.1007/978-3-319-54481-6_7.
5
Phase Vector Incompressible Registration Algorithm for Motion Estimation From Tagged Magnetic Resonance Images.
IEEE Trans Med Imaging. 2017 Oct;36(10):2116-2128. doi: 10.1109/TMI.2017.2723021. Epub 2017 Jul 4.
6
Analysis of speech and tongue motion in normal and post-glossectomy speaker using cine MRI.
J Appl Oral Sci. 2016 Sep-Oct;24(5):472-480. doi: 10.1590/1678-775720150421.
7
Analysis of 3-D Tongue Motion From Tagged and Cine Magnetic Resonance Images.
J Speech Lang Hear Res. 2016 Jun 1;59(3):468-79. doi: 10.1044/2016_JSLHR-S-14-0155.
8
Construction of An Unbiased Spatio-Temporal Atlas of the Tongue During Speech.
Inf Process Med Imaging. 2015;24:723-32. doi: 10.1007/978-3-319-19992-4_57.
10
A High-resolution Atlas and Statistical Model of the Vocal Tract from Structural MRI.
Comput Methods Biomech Biomed Eng Imaging Vis. 2015;3(1):47-60. doi: 10.1080/21681163.2014.933679.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验