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The language profile in multiple system atrophy: an exploratory study.

Sofia Cuoco1, Marina Picillo1, Immacolata Carotenuto1

  • 1Neuroscience Section, Department of Medicine, Surgery and Dentistry, Center for Neurodegenerative Diseases (CEMAND), University of Salerno, 84131, Salerno, Italy.

Journal of Neural Transmission (Vienna, Austria : 1996)
|July 3, 2021
PubMed
Summary
This summary is machine-generated.

Language impairments are common in Multiple System Atrophy (MSA). The MSA-tailored Screening for Aphasia in NeuroDegeneration (SAND) tool reliably identifies these issues, which correlate with cognitive decline.

Keywords:
CognitionLanguageMild cognitive impairmentMultiple System Atrophy

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Area of Science:

  • Neuroscience
  • Linguistics
  • Neurology

Background:

  • Limited evidence exists on the language performance profile in Multiple System Atrophy (MSA).
  • Characterizing language deficits in MSA can enhance understanding of the disorder and basal ganglia's role in language.
  • Investigating language in neurodegenerative diseases is crucial for comprehensive patient assessment.

Purpose of the Study:

  • Evaluate the reliability of the Screening for Aphasia in NeuroDegeneration (SAND) in MSA patients.
  • Compare linguistic profiles of MSA patients with Parkinson's disease (PD) patients and healthy controls (HC).
  • Assess the relationship between language impairment, cognitive status, and MSA motor subtypes.

Main Methods:

  • Enrolled 40 MSA patients, 22 HC, and 17 PD patients.
  • Utilized an MSA-tailored SAND tool, excluding a poorly accepted writing task.
  • Administered language tasks including repetition, reading, and semantic association.

Main Results:

  • The MSA-tailored SAND Global Score demonstrated acceptability, consistency, and reliability for screening language disturbances in MSA.
  • MSA patients showed worse performance than HC but not PD patients on the SAND score, repetition, reading, and semantic association.
  • No significant differences in language performance were found between MSA phenotypes, but cognitive decline correlated with poorer language outcomes.

Conclusions:

  • The MSA-tailored SAND Global Score is a reliable tool for identifying language disturbances in MSA.
  • Language deficits are a characteristic feature of MSA, regardless of phenotype, and are linked to global cognitive decline.