Evidence map›Paper›PMID 34012189›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2021

Floor-of-the-Mouth Muscle Function Analysis Using Dynamic Magnetic Resonance Imaging.

Fangxu Xing, Maureen Stone, Jerry L Prince, Xiaofeng Liu, Georges El Fakhri, Jonghye Woo

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 49% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

6 authors at 4 institutions in 1 country.

Fangxu XingGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, US 02114.
Maureen StoneDepartment of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD, US 21201.
Jerry L PrinceDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, US 21218.
Xiaofeng LiuGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, US 02114.
Georges El FakhriGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, US 02114.
Jonghye WooGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, US 02114.
Harvard University · USJohns Hopkins University · USMassachusetts General Hospital · USUniversity of Mary · US

Funding

A holistic approach to identifying functional units of tongue motion during speechR01DC018511 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI WOO, JONGHYE · 2020 to 2024
$2.6M
Predictors of Speech Quality after Tongue Cancer SurgeryR01CA133015 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI STONE, MAUREEN · 2009 to 2013
$2.5M
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
4D Statistical Atlas from Multimodal Tongue MR ImagesR00DC012575 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI WOO, JONGHYE · 2015 to 2017
$746k
In Vivo Mapping of Uncharted Functional Units of Tongue Motion During SpeechR21DC016047 · NIDCD · MASSACHUSETTS GENERAL HOSPITAL · PI WOO, JONGHYE · 2018 to 2019
$460k
NCI NIH HHS R01 CA133015NIDCD NIH HHS R00 DC012575NIDCD NIH HHS R01 DC014717NIDCD NIH HHS R01 DC018511NIDCD NIH HHS R21 DC016047
6 · The paper itself

Abstract

To advance our understanding of speech motor control, it is essential to image and assess dynamic functional patterns of internal structures caused by the complex muscle anatomy inside the human tongue. Speech pathologists are investigating into new tools that help assessment of internal tongue muscle's cooperative mechanics on top of their anatomical differences. Previous studies using dynamic magnetic resonance imaging (MRI) of the tongue revealed that tongue muscles tend to function in different groups during speech, especially the floor-of-the-mouth (FOM) muscles. In this work, we developed a method that analyzed the unique functional pattern of the FOM muscles in speech. First, four-dimensional motion fields of the whole tongue were computed using tagged MRI. Meanwhile, a statistical atlas of the tongue was constructed to form a common space for subject comparison, while a manually delineated mask of internal tongue muscles was used to separate individual muscle's motion. Then we computed four-dimensional motion correlation between each muscle and the FOM muscle group. Finally, dynamic correlation of different muscle groups was compared and evaluated. We used data from a study group of nineteen subjects including both healthy controls and oral cancer patients. Results revealed that most internal tongue muscles coordinated in a similar pattern in speech while the FOM muscles followed a unique pattern that helped supporting the tongue body and pivoting its rotation. The proposed method can help provide further interpretation of clinical observations and speech motor control from an imaging point of view.

Indexed as

atlascorrelationfloor-of-the-mouth musclesmotionMRIspeechtaggedTongue function

Identifiers

PMID34012189
PMCPMC8130842
OpenAlexW3129624329

What OpenQuestion holds

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Registered trials

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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.