Evidence map›Paper›PMID 29675685›Full record

ArticleBiomechanics and modeling in mechanobiology2018

Laplace-based modeling of fiber orientation in the tongue.

Arnold D Gomez, Nahla Elsaid, Maureen L Stone, Jiachen Zhuo, Jerry L Prince

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Analysis of fiber strain in the human tongue during speech.Computer methods in biomechanics and biomedical engineering · 2020
    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

5 authors.

Arnold D GomezDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA. adgomez@jhu.edu.
Nahla ElsaidDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA.
Maureen L StoneDepartment of Neural and Pain Sciences, University of Maryland Dental School, Baltimore, USA.
Jiachen ZhuoDepartment of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, USA.
Jerry L PrinceDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA.

Funding

IN VIVO MEASUREMENT OF BRAIN BIOMECHANICSR01NS055951 · NINDS · WASHINGTON UNIVERSITY · PI BAYLY, PHILIP V · 2007 to 2017
$3.9M
Tongue muscle function after cancer surgery using 4D MRI, DTI, and MR taggingR01DC014717 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI PRINCE, JERRY L · 2015 to 2019
$1.7M
National Institute of Neurological Disorders and Stroke (US) 2R01NS055951National Institute on Deafness and Other Communication Disorders (US) R01DC014717NIDCD NIH HHS R01 DC014717NINDS NIH HHS R01 NS055951
6 · The paper itself

Abstract

Mechanical modeling of tongue deformation plays a significant role in the study of breathing, swallowing, and speech production. In the absence of internal joints, fiber orientations determine the direction of sarcomeric contraction and have great influence over real and simulated tissue motion. However, subject-specific experimental observations of fiber distribution are difficult to obtain; thus, models of fiber distribution are generally used in mechanical simulations. This paper describes modeling of fiber distribution using solutions of Laplace equations and compares the effectiveness of this approach against tractography from diffusion tensor magnetic resonance imaging. The experiments included qualitative comparison of streamlines from the fiber model against experimental tractography, as well as quantitative differences between biomechanical simulations focusing in the region near the genioglossus. The model showed good overall agreement in terms of fiber directionality and muscle positioning when compared to subject-specific imaging results and the literature. The angle between the fiber distribution model against tractography in the genioglossus and geniohyoid muscles averaged [Formula: see text] likely due to experimental noise. However, kinematic responses were similar between simulations with modeled fibers versus experimentally obtained fibers; average discrepancy in surface displacement ranged from 1 to 7 mm, and average strain residual magnitude ranged from [Formula: see text] to 0.2. The results suggest that, for simulation purposes, the modeled fibers can act as a reasonable approximation for the tongue's fiber distribution. Also, given its agreement with the global tongue anatomy, the approach may be used in model-based reconstruction of displacement tracking and diffusion results.

Indexed as

Models, BiologicalComputer SimulationDiffusionDiffusion Tensor ImagingFemaleHumansMaleStress, MechanicalTongueBiomechanical modelingFiber orientationMagnetic resonanceTongue biomechanics

Identifiers

PMID29675685
PMCPMC6050131

What OpenQuestion holds

Textmetadata
LicenceTDM
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.