Speech-based characterization of dopamine replacement therapy in people with Parkinson’s disease
Open accessAbstract
People with Parkinson’s (PWP) disease are under constant tension with respect to their dopamine replacement therapy (DRT) regimen. Waiting too long between doses results in more prominent symptoms, loss of motor function, and greater risk of falling per step. Shortened pill cycles can lead to accelerated habituation and faster development of disabling dyskinesias. The Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is the gold standard for monitoring Parkinson’s disease progression but requires a neurologist to administer and therefore is not an ideal instrument to continuously evaluate short-term disease fluctuations. We investigated the feasibility of using speech to detect changes in medication states, based on expectations of subtle changes in voice and content related to dopaminergic levels. We calculated acoustic and prosodic features for three speech tasks (picture description, reverse counting, and diadochokinetic rate) for 25 PWP, each evaluated “ON” and “OFF” DRT. Additionally, we generated semantic features for the picture description task. Classification of ON/OFF medication states using features generated from picture description, reverse counting and diadochokinetic rate tasks resulted in cross-validated accuracy rates of 0.89, 0.84, and 0.60, respectively. The most discriminating task was picture description which provided evidence that participants are more likely to use action words in ON than in OFF state. We also found that speech tempo was modified by DRT. Our results suggest that automatic speech assessment can capture changes associated with the DRT cycle. Given the ease of acquiring speech data, this method shows promise to remotely monitor DRT effects.
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The phonetic footprint of Parkinson’s disease
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Self-citationBeyond neuropsychological tests: AI speech analysis in PKU
Waisbren, S. E., Norel, R., Agurto, C., Singh, S. M., Connor, Z. A., Ebrahim, M. G., & Cecchi, G. (2024) · Journal of Inherited Metabolic Disease · doi:10.1002/jimd.12831 · Cited by 10 · see citing works
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On Modeling Glottal Source Information for Phonation Assessment in Parkinson’s Disease
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Self-citationListener effort measures clinically meaningful change of dysarthria in amyotrophic lateral sclerosis
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Self-citationComprehensive Analysis of Parkinson Disease Prediction using Vocal Parameters
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Self-citationFairness Constraints in Speech-to-Text Applications – Clinical Effects of Salivation
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Subtle oromotor signs in early Parkinson’s disease before clinical manifestations of dysphagiaPreprint
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RetractedMixed-Reality System for Neurodegenerative Disorders: Design, Implementation, and User Evaluation
Hemmerling, D., Jemioło, P., Danioł, M., Wodziński, M., Dudek, M., Kaczmarska, M., Jasiewicz, K., Igraś-Cybulska, M., Kamiński, J., & Wójcik-Pędziwiatr, M. (2025) · IEEE Pervasive Computing · doi:10.1109/mprv.2025.3618118
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Using Digital Tools for Cognitive Assessment Across Levels of Care
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- Authors
- Norel, R., Agurto, C., Heisig, S., Rice, J. J., Zhang, H., Ostrand, R., Wacnik, P. W., Ho, B. K., Ramos, V. L., & Cecchi, G. A.
- Affiliations
- IBM (United States) (US)
- Pfizer (United States) (US)
- Tufts University (US)
- Corresponding author
- Norel, R.
- ORCID
- Venue
- npj Parkinson's Disease
- Published
- 2020-06-12
- Volume
- 6
- Issue
- 1
- Pages
- 12-12
- ISSN
- 2373-8057 (ISSN-L)
- PMC
- PMC7293295
- OpenAlex
- W3034742352
- Cited by
- 45
- References
- 77
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 10 · 2023: 8 · 2022: 8 · 2021: 8 · 2020: 1
- FWCI
- 3.76
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Parkinson s Disease (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Pfizer
- Tufts University School of Medicine
- Topics
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- Parkinson's disease, dopamine replacement therapy, speech analysis, acoustic features, prosodic features, semantic features, picture description task, diadochokinesis, speech tempo, remote monitoring, dyskinesia, Unified Parkinson's Disease Rating Scale
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