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Quantitative Speech Assessment in Ataxia-Consensus Recommendations by the Ataxia Global Initiative Working Group on Digital-Motor Markers.
Vogel, Adam P; Sobanska, Anna; Gupta, Anoopum; Vasco, Gessica; Grobe-Einsler, Marcus; Summa, Susanna; Borel, Stephanie.
Afiliação
  • Vogel AP; Centre for Neuroscience of Speech, The University of Melbourne, Melbourne, Australia. vogela@unimelb.edu.au.
  • Sobanska A; Division of Translational Genomics of Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Germany & Center for Neurology, University Hospital Tübingen, Tübingen, Germany. vogela@unimelb.edu.au.
  • Gupta A; Redenlab Inc., Melbourne, Australia. vogela@unimelb.edu.au.
  • Vasco G; Department of Clinical Neurophysiology, Institute of Psychiatry and Neurology, Warsaw, Poland.
  • Grobe-Einsler M; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Summa S; Bambino Gesù Children's Hospital, IRCCS, 00050, Rome, Italy.
  • Borel S; German Center for Neurodegenerative Diseases, Bonn, Germany.
Cerebellum ; 2023 Oct 28.
Article em En | MEDLINE | ID: mdl-37897626
ABSTRACT
Dysarthria is a common and debilitating symptom of many neurodegenerative diseases, including those resulting in ataxia. Changes to speech lead to significant reductions in quality of life, impacting the speaker in most daily activities. Recognition of its importance as an objective outcome measure in clinical trials for ataxia is growing. Its viability as an endpoint across the disease spectrum (i.e. pre-symptomatic onwards) means that trials can recruit ambulant individuals and later-stage individuals who are often excluded because of difficulty completing lower limb tasks. Here we discuss the key considerations for speech testing in clinical trials including hardware selection, suitability of tasks and their role in protocols for trials and propose a core set of tasks for speech testing in clinical trials. Test batteries could include forms suitable for remote short, sensitive and easy to use, with norms available in several languages. The use of artificial intelligence also could improve accuracy and automaticity of analytical pipelines in clinic and trials.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article