Evidence map›Paper›PMID 29706684›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2018

Strain Map of the Tongue in Normal and ALS Speech Patterns from Tagged and Diffusion MRI.

Fangxu Xing, Jerry L Prince, Maureen Stone, Timothy G Reese, Nazem Atassi, Van J Wedeen, Georges El Fakhri, Jonghye Woo

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Analysis of Tongue Muscle Strain During Speech From Multimodal Magnetic Resonance Imaging.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
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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

8 authors at 3 institutions in 1 country.

Fangxu XingGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US 02114.
Jerry L PrinceDepartment of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, US 21218.
Maureen StoneDepartment of Neural and Pain Sciences, University of Maryland School of Dentistry, Baltimore, MD, US 21201.
Timothy G ReeseDepartment of Radiology, Massachusetts General Hospital, Boston, MA, US 02114.
Nazem AtassiDepartment of Neurology, Massachusetts General Hospital, Boston, MA, US 02114.
Van J WedeenDepartment of Radiology, Massachusetts General Hospital, Boston, MA, US 02114.
Georges El FakhriGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US 02114.
Jonghye WooGordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, US 02114.
Massachusetts General Hospital · USJohns Hopkins University · USUniversity of Mary · US

Funding

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
NCI NIH HHS R01 CA133015NIDCD NIH HHS R00 DC012575NIDCD NIH HHS R01 DC014717
6 · The paper itself

Abstract

Amyotrophic Lateral Sclerosis (ALS) is a neurological disease that causes death of neurons controlling muscle movements. Loss of speech and swallowing functions is a major impact due to degeneration of the tongue muscles. In speech studies using magnetic resonance (MR) techniques, diffusion tensor imaging (DTI) is used to capture internal tongue muscle fiber structures in three-dimensions (3D) in a non-invasive manner. Tagged magnetic resonance images (tMRI) are used to record tongue motion during speech. In this work, we aim to combine information obtained with both MR imaging techniques to compare the functionality characteristics of the tongue between normal and ALS subjects. We first extracted 3D motion of the tongue using tMRI from fourteen normal subjects in speech. The estimated motion sequences were then warped using diffeomorphic registration into the b0 spaces of the DTI data of two normal subjects and an ALS patient. We then constructed motion atlases by averaging all warped motion fields in each b0 space, and computed strain in the line of action along the muscle fiber directions provided by tractography. Strain in line with the fiber directions provides a quantitative map of the potential active region of the tongue during speech. Comparison between normal and ALS subjects explores the changing volume of compressing tongue tissues in speech facing the situation of muscle degradation. The proposed framework provides for the first time a dynamic map of contracting fibers in ALS speech patterns, and has the potential to provide more insight into the detrimental effects of ALS on speech.

Indexed as

ALSatlasDTIdynamic MRImotionspeech functionTonguetractography

Identifiers

PMID29706684
PMCPMC5922778
OpenAlexW2789535245

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.