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@ARTICLE{Hhnel:281532,
      author       = {Hähnel, Tom and Nemitz, Anna and Schön, Katja and Berger,
                      Luise and Vogel, Annemarie and Gruber, Doreen and Schnalke,
                      Nils and Bräuer, Stefan and Falkenburger, Björn H and
                      Gandor, Florin},
      title        = {{S}peech {D}ifferences between {M}ultiple {S}ystem
                      {A}trophy and {P}arkinson's {D}isease.},
      journal      = {Movement disorders clinical practice},
      volume       = {12},
      number       = {9},
      issn         = {2330-1619},
      address      = {New York, NY},
      publisher    = {Wiley},
      reportid     = {DZNE-2025-01150},
      pages        = {1391 - 1396},
      year         = {2025},
      abstract     = {Delineation of Parkinson's disease (PD) from multiple
                      system atrophy (MSA) can be challenging in early disease
                      stages. Speech characteristics have been studied as digital
                      biomarkers in PD and ataxias. Currently, data on speech in
                      MSA is limited.To determine whether speech characteristics
                      can serve as a digital biomarker to differentiate between
                      MSA and PD.Twenty-one MSA patients and 23 PD patients
                      underwent a battery of speech assessments: text reading,
                      sustained phonation and diadochokinetic tasks. Speech
                      characteristics were extracted using the software, Praat.MSA
                      and PD speech can be described by three meaningful factors.
                      MSA speech exhibited more reading pauses, higher pitch
                      variability, prolonged syllables, and a more irregular
                      speech rhythm, allowing differentiation from PD with a
                      ROC-AUC of 0.89. Speech characteristics were correlated with
                      motor impairment and disease severity.MSA can be
                      differentiated from PD with good accuracy using speech
                      analysis.},
      keywords     = {Humans / Multiple System Atrophy: complications / Multiple
                      System Atrophy: diagnosis / Parkinson Disease: complications
                      / Parkinson Disease: diagnosis / Female / Male / Aged /
                      Middle Aged / Speech Disorders: etiology / Speech Disorders:
                      diagnosis / Speech: physiology / ROC Curve / Parkinson's
                      disease (Other) / dysarthria (Other) / multiple system
                      atrophy (Other) / speech (Other) / voice (Other)},
      cin          = {AG Falkenburger},
      ddc          = {610},
      cid          = {I:(DE-2719)1710012},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40317624},
      pmc          = {pmc:PMC12481427},
      doi          = {10.1002/mdc3.70094},
      url          = {https://pub.dzne.de/record/281532},
}