Evidence map›Paper›PMID 38846538›Full record

ArticleBrain communications2024

Volumetric and diffusion MRI abnormalities associated with dysarthria in multiple sclerosis.

Katherine H Kenyon, Myrte Strik, Gustavo Noffs, Angela Morgan, Scott Kolbe, Ian H Harding, Adam P Vogel, Frederique M C Boonstra, Anneke van der Walt

Abstract read
In one paragraph

Article in Brain communications, 2024. 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
–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

1 citing paper in PubMed.

  1. 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

9 authors.

Katherine H KenyonDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.ORCID https://orcid.org/0000-0003-0222-9565
Myrte StrikSpinoza Centre for Neuroimaging, Netherlands Institute for Neuroscience, Royal Academy for Arts and Sciences, KNAW, Amsterdam 1105 BK, The Netherlands.
Gustavo NoffsDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.
Angela MorganMurdoch Children's Research Institute, Genomic Medicine, Speech and Language Group, Parkville 3052, Australia.ORCID https://orcid.org/0000-0003-1147-7405
Scott KolbeDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.
Ian H HardingDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.
Adam P VogelCentre for Neuroscience of Speech, University of Melbourne, Parkville, VIC 3052, Australia.
Frederique M C BoonstraDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.
Anneke van der WaltDepartment of Neuroscience, School of Translational Medicine, Monash University, Melbourne, VIC 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Up to half of all people with multiple sclerosis experience communication difficulties due to dysarthria, a disorder that impacts the motor aspects of speech production. Dysarthria in multiple sclerosis is linked to cerebellar dysfunction, disease severity and lesion load, but the neuroanatomical substrates of these symptoms remain unclear. In this study, 52 participants with multiple sclerosis and 14 age- and sex-matched healthy controls underwent structural and diffusion MRI, clinical assessment of disease severity and cerebellar dysfunction and a battery of motor speech tasks. Assessments of regional brain volume and white matter integrity, and their relationships with clinical and speech measures, were undertaken. White matter tracts of interest included the interhemispheric sensorimotor tract, cerebello-thalamo-cortical tract and arcuate fasciculus, based on their roles in motor and speech behaviours. Volumetric analyses were targeted to Broca's area, Wernicke's area, the corpus callosum, thalamus and cerebellum. Our results indicated that multiple sclerosis participants scored worse on all motor speech tasks. Fixel-based diffusion MRI analyses showed significant evidence of white matter tract atrophy in each tract of interest. Correlational analyses further indicated that higher speech naturalness-a perceptual measure of dysarthria-and lower reading rate were associated with axonal damage in the interhemispheric sensorimotor tract and left arcuate fasciculus in people with multiple sclerosis. Axonal damage in all tracts of interest also correlated with clinical scales sensitive to cerebellar dysfunction. Participants with multiple sclerosis had lower volumes of the thalamus and corpus callosum compared with controls, although no brain volumetrics correlated with measures of dysarthria. These findings indicate that axonal damage, particularly when measured using diffusion metrics, underpin dysarthria in multiple sclerosis.

Indexed as

diffusion MRIdysarthriamultiple sclerosisneurolinguistics

Identifiers

PMID38846538
PMCPMC11154149

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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.