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Published on: February 21, 2011
Characteristics of motor speech phenotypes in multiple sclerosis
Jan Rusz1, Barbora Benova2, Hana Ruzickova2
1Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technicka 2, 160 00 Prague 6, Czech Republic; Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Katerinska 30, 120 00 Prague 2, Czech Republic.
Motor speech disorders in multiple sclerosis (MS) are common and can indicate early disease progression. Acoustic analysis of speech reveals subtle impairments and correlates with neurological damage, offering potential biomarkers for MS.
Area of Science:
- Neurology
- Speech-Language Pathology
- Biomarkers
Background:
- Motor speech disorders in multiple sclerosis (MS) are not well understood.
- Quantitative acoustic characterization of MS speech disorders is limited.
- Data on the relationship between MS speech disorders, neurological involvement, and specific functional systems (pyramidal, cerebellar) is scarce.
Purpose of the Study:
- To objectively characterize motor speech disorders in MS using acoustic analysis.
- To investigate the relationship between speech disorder severity and neurological impairment in MS.
- To determine the contribution of pyramidal and cerebellar systems to MS speech phenotypes.
Main Methods:
- Acoustic speech data collected from 141 MS patients (EDSS 1-6.5) and 70 healthy controls.
- Objective acoustic assessment included subtests for phonation, oral diadochokinesis, articulation, and prosody.
- Correlation and discrimination analyses were performed to link speech features with neurological status.
Main Results:
- 56% of MS patients had dysarthria, generally mild with spastic-ataxic components.
- Prosodic-articulatory disorder (monopitch, decay, loudness variations, slow rate) was most prominent.
- Speech analysis accurately (78%) distinguished asymptomatic MS patients from controls, indicating subclinical motor impairment.
- Speech disorder severity correlated with neurological involvement (EDSS, MS Functional Composite).
- Irregular oral diadochokinesis strongly correlated with the 9-Hole Peg Test (r = -0.65).
- Specific speech features differentiated pyramidal and mixed pyramidal-cerebellar MS subgroups.
Conclusions:
- Automated speech analysis offers valuable biomarkers for MS progression.
- Dysarthria is a common and early sign in MS, reflecting disease disability.
- Speech analysis can reveal underlying pyramidal-cerebellar pathophysiology in MS.
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