Cited by 45Voice and Speech DisordersParkinson's Disease Mechanisms and TreatmentsArtificial Intelligence in Healthcare

Speech-based characterization of dopamine replacement therapy in people with Parkinson’s disease

Open access
Norel, R., Agurto, C., Heisig, S., Rice, J. J., Zhang, H., Ostrand, R., Wacnik, P. W., Ho, B. K. +2 more·2020·npj Parkinson's Disease

Abstract

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.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41531-020-0113-5

Cites

76 of 76 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 77 references couldn’t be matched to a known paper.

Research works printed but not linked: 1

  1. [14]Nöth, E., Rudzicz, F., Christensen, H., Orozco-Arroyave, J. R. & Chinaei, H. Remote monitoring of neurodegeneration through speech. In Final Presentation of the Third Frederick Jelinek Memorial Summer Workshop (JSALT) (2016).

Cited by

Sorted by citations

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.
Venue
npj Parkinson's Disease
Published
2020-06-12
Volume
6
Issue
1
Pages
12-12
ISSN
2373-8057 (ISSN-L)
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
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review