The efficacy of acoustic-based articulatory phenotyping for characterizing and classifying four divergent neurodegenerative diseases using sequential motion rates.


Journal

Journal of neural transmission (Vienna, Austria : 1996)
ISSN: 1435-1463
Titre abrégé: J Neural Transm (Vienna)
Pays: Austria
ID NLM: 9702341

Informations de publication

Date de publication:
12 2022
Historique:
received: 26 07 2022
accepted: 13 10 2022
pubmed: 29 10 2022
medline: 15 11 2022
entrez: 28 10 2022
Statut: ppublish

Résumé

Despite the impacts of neurodegeneration on speech function, little is known about how to comprehensively characterize the resulting speech abnormalities using a set of objective measures. Quantitative phenotyping of speech motor impairments may have important implications for identifying clinical syndromes and their underlying etiologies, monitoring disease progression over time, and improving treatment efficacy. The goal of this research was to investigate the validity and classification accuracy of comprehensive acoustic-based articulatory phenotypes in speakers with distinct neurodegenerative diseases. Articulatory phenotypes were characterized based on acoustic features that were selected to represent five components of motor performance: Coordination, Consistency, Speed, Precision, and Rate. The phenotypes were first used to characterize the articulatory abnormalities across four progressive neurologic diseases known to have divergent speech motor deficits: amyotrophic lateral sclerosis (ALS), progressive ataxia (PA), Parkinson's disease (PD), and the nonfluent variant of primary progressive aphasia and progressive apraxia of speech (nfPPA + PAOS). We then examined the efficacy of articulatory phenotyping for disease classification. Acoustic analyses were conducted on audio recordings of 217 participants (i.e., 46 ALS, 52 PA, 60 PD, 20 nfPPA + PAOS, and 39 controls) during a sequential speech task. Results revealed evidence of distinct articulatory phenotypes for the four clinical groups and that the phenotypes demonstrated strong classification accuracy for all groups except ALS. Our results highlight the phenotypic variability present across neurodegenerative diseases, which, in turn, may inform (1) the differential diagnosis of neurological diseases and (2) the development of sensitive outcome measures for monitoring disease progression or assessing treatment efficacy.

Identifiants

pubmed: 36305960
doi: 10.1007/s00702-022-02550-0
pii: 10.1007/s00702-022-02550-0
pmc: PMC9859630
mid: NIHMS1862557
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1487-1511

Subventions

Organisme : NIDCD NIH HHS
ID : R01 DC014296
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01 DC013547
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01DC014296
Pays : United States
Organisme : NIDCD NIH HHS
ID : F31 DC019556
Pays : United States
Organisme : NIDCD NIH HHS
ID : K24 DC016312
Pays : United States
Organisme : NIDCD NIH HHS
ID : F31DC019556
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01DC013547
Pays : United States
Organisme : NIDCD NIH HHS
ID : R21 DC019567
Pays : United States
Organisme : NIDCD NIH HHS
ID : 24DC016312
Pays : United States

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

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Auteurs

Hannah P Rowe (HP)

Department of Rehabilitation Sciences, MGH Institute of Health Professions, Charlestown, Boston, MA, USA.

Perman Gochyyev (P)

School of Healthcare Leadership, MGH Institute of Health Professions, Boston, MA, USA.
Berkeley Evaluation and Assessment Research Center, University of California at Berkeley, Berkeley, CA, USA.

Adam C Lammert (AC)

Department of Biomedical Engineering, Worchester Polytechnic Institute, Worcester, MA, USA.

Anja Lowit (A)

Department of Speech and Language Therapy, University of Strathclyde, Glasgow, Scotland, UK.

Kristie A Spencer (KA)

Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA.

Bradford C Dickerson (BC)

Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.

James D Berry (JD)

Department of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.

Jordan R Green (JR)

Department of Rehabilitation Sciences, MGH Institute of Health Professions, Charlestown, Boston, MA, USA. jgreen2@mghihp.edu.

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