Automated analysis of spoken language differentiates multiple system atrophy from Parkinson's disease.

Journal: Journal of neurology
PMID: 39812820

Abstract

BACKGROUND AND OBJECTIVES: Patients with synucleinopathies such as multiple system atrophy (MSA) and Parkinson's disease (PD) frequently display speech and language abnormalities. We explore the diagnostic potential of automated linguistic analysis of natural spontaneous speech to differentiate MSA and PD.

Authors

  • Martin Šubert
    Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, Praha 6, 16000, Prague, Czech Republic.
  • Tereza Tykalová
    Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, Praha 6, 16000, Prague, Czech Republic.
  • Michal Novotny
  • Petr Dusek
    Department of Neurology, 1st Faculty of Medicine, Centre of Clinical Neuroscience, General University Hospital in Prague, Charles University, Prague, Czechia.
  • Jiří Klempíř
    Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic.
  • Jan Rusz

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