Evidence map›Paper›PMID 41232035›Full record

ArticleJMIR mHealth and uHealth2025

Dynamic Assessment of Fine Motor Control and Vocalization in Parkinson Disease Through a Smartphone App: Cross-Sectional Study of Time-Severity Interaction Effects.

Youho Myong, Seo Jung Yun, Kyudong Park, Byung-Mo Oh, Han Gil Seo

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Youho Myong *Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-2469-839X
Seo Jung Yun *Department of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-no, Jongno-gu, Seoul, 03080, Republic of Korea, 82 2-2072-1659.ORCID 0000-0002-2142-0472
Kyudong Park *Department of Artificial Intelligence Applications, Kwangwoon University, Seoul, Republic of Korea.ORCID 0000-0002-3102-7359
Byung-Mo OhDepartment of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-no, Jongno-gu, Seoul, 03080, Republic of Korea, 82 2-2072-1659.ORCID 0000-0001-9353-7541
Han Gil SeoDepartment of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-no, Jongno-gu, Seoul, 03080, Republic of Korea, 82 2-2072-1659.ORCID 0000-0001-6904-7542

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Parkinson disease (PD) is a progressive neurodegenerative disorder characterized by motor and nonmotor symptoms that worsen over time, significantly impacting quality of life. While clinical evaluations such as the Unified Parkinson's Disease Rating Scale (UPDRS) are standard for assessing disease severity, they offer somewhat limited temporal resolution and are susceptible to observer variability. Smartphone apps present a viable method for capturing detailed fluctuations in motor and vocal functions in real-world settings. Objective: This study aimed to use a smartphone-based app to quantitatively evaluate the interaction effect between time and disease severity on motor and vocal symptoms in individuals with PD. Methods: This was an exploratory, cross-sectional pilot study. Disease severity in persons with PD was assessed using the modified Hoehn & Yahr Scale, Voice Handicap Index, and UPDRS. We used a custom smartphone app to administer finger-tapping tasks, sustained phonation (/a/ and /i/), and rapid syllable repetition (/dadada/ and /pa-ta-ka/). The total tap counts, tap-to-tap variability, and vocal parameters (loudness, jitter, shimmer, repeat counts, and their variability) were analyzed. Each task was divided into 5 equal time frames to analyze performance changes over a short duration. Time-severity interactions were examined using linear mixed models. Results: In total, 20 persons with PD and 20 healthy adults were included in this study. Persons with PD showed worse motor and vocal performance compared to healthy adults, with higher dysrhythmia; worse jitter, shimmer, and jitter and shimmer variability; and fewer repeat counts. During finger-tapping tasks, individuals with PD showed an earlier onset of dysrhythmia than their healthy counterparts. While a higher UPDRS part III score was associated with greater finger-tapping variability, there was no significant time-severity interaction for this motor task. However, linear mixed model analysis revealed significant time-severity interaction effects for vocal tasks, including /a/ loudness (P=.001), /a/ jitter (P=.01), /a/ shimmer (P=.001), /i/ loudness (P=.001), /i/ jitter (P<.001), /i/ shimmer (P<.001), and /pa-ta-ka/-variability (P=.04). This indicates that individuals with higher UPDRS part III scores experienced a more rapid decline in vocal control during the assessment period. All measured smartphone-based characteristics showed a significant correlation with UPDRS part III scores, with finger-tapping variability having the strongest correlation. Conclusions: This study demonstrates that a smartphone-based assessment, conducted over just a few minutes, can detect subtle temporal changes in fine motor and vocal control. The app successfully captured the earlier onset of dysrhythmia in individuals with PD and, importantly, identified significant time-severity interaction effects in vocal performance. This suggests that such digital tools can provide sensitive, dynamic insights into symptom progression, potentially enabling more precise monitoring and timely clinical interventions for individuals with PD.

Indexed as

Mobile ApplicationsParkinson DiseaseAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPilot ProjectsSeverity of Illness IndexSmartphoneDigital BiomarkersMobile ApplicationsMotor SkillsParkinson DiseaseVoice

Identifiers

PMID41232035
PMCPMC12614394

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.