Evidence map›Paper›PMID 41740142›Full record

ArticleJMIR serious games2026

Quantifying Slowness in Parkinson Disease Using a Serious Game: Cross-Sectional Study.

Luanne Cardoso Mendes, Ariana Moura Cabral, Camille Marques Alves, Isabela Alves Marques, Alberto López Delis, Yann Morère, Adriano de Oliveira Andrade

Abstract read
In one paragraph

Article in JMIR serious games, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

7 authors.

Luanne Cardoso MendesCentre for Innovation and Technology Assessment in Health, Faculty of Electrical Engineering, Universidade Federal de Uberlândia, 2121 João Naves de Ávila Avenue, Santa Mônica, Uberlândia, 38408-100, Brazil, +55 34 3239 4729.ORCID http://orcid.org/0000-0001-7465-9332
Ariana Moura CabralCentre for Innovation and Technology Assessment in Health, Faculty of Electrical Engineering, Universidade Federal de Uberlândia, 2121 João Naves de Ávila Avenue, Santa Mônica, Uberlândia, 38408-100, Brazil, +55 34 3239 4729.ORCID http://orcid.org/0000-0002-9804-353X
Camille Marques AlvesCentre for Innovation and Technology Assessment in Health, Faculty of Electrical Engineering, Universidade Federal de Uberlândia, 2121 João Naves de Ávila Avenue, Santa Mônica, Uberlândia, 38408-100, Brazil, +55 34 3239 4729.ORCID http://orcid.org/0000-0002-7509-1547
Isabela Alves MarquesCentre for Innovation and Technology Assessment in Health, Faculty of Electrical Engineering, Universidade Federal de Uberlândia, 2121 João Naves de Ávila Avenue, Santa Mônica, Uberlândia, 38408-100, Brazil, +55 34 3239 4729.ORCID http://orcid.org/0000-0002-5025-7328
Alberto López DelisMedical Biophysics Center, Universidad de Oriente, Santiago de Cuba, Cuba.ORCID http://orcid.org/0000-0002-0826-5914
Yann MorèreLaboratoire de Conception, d'Optimisation et de Modélisation des Systèmes, Université de Lorraine, Metz, France.ORCID http://orcid.org/0000-0002-2499-7576
Adriano de Oliveira AndradeCentre for Innovation and Technology Assessment in Health, Faculty of Electrical Engineering, Universidade Federal de Uberlândia, 2121 João Naves de Ávila Avenue, Santa Mônica, Uberlândia, 38408-100, Brazil, +55 34 3239 4729.ORCID http://orcid.org/0000-0002-5689-6606

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Slowness in voluntary movements is a hallmark of Parkinson disease (PD); yet, objective measurement outside clinical settings is limited. Serious games represent a promising alternative to extract motor performance metrics during interactions. However, evidence on the effectiveness of these games in discriminating motor performance between individuals with and those without PD is still scarce. Objective: This study aimed to objectively assess slowness using the RehaBEElitation serious game, based on in-game estimated measurements. Methods: The study included 15 individuals with mild to moderate PD (Hoehn and Yahr I-III), assessed in both ON and OFF medication states, and 15 age- and gender-matched healthy controls (10 men and 5 women; mean 66.27, SD 9.13 years; range 45-82 years). All participants played each phase of the game on the easiest level. Slowness was evaluated by detecting the voluntary movement of the gyroscope signals using the singular spectrum analysis method. The response time (RT) and angular velocity (AV) of the participants while playing RehaBEElitation were estimated. Group-level comparisons were performed to investigate the presence of slowness patterns across conditions. The Kruskal-Wallis test and Wilcoxon signed rank test with Bonferroni correction were used to confirm the differences between groups, and the effect size was estimated using eta square (η2). Spearman correlation analyses were conducted to examine associations between the RT and AV and the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) motor items. Results: Groups were age-homogeneous (P>.05). Participants with PD had significantly higher scores on MDS-UPDRS Part III in the OFF state compared to the ON state of medication (mean difference 2.86, 95% CI 2-12; P<.05). RT was generally shorter and AV higher in controls than in participants with PD. In the PD group, RT decreased and AV increased from OFF to ON states, reflecting an improvement in motor performance. Significant differences in RT were observed between groups in all phases of the game, with effect sizes ranging from small to moderate (η2=0.0239-0.0650). AV differed markedly between groups in phase 4, with a large effect size (η2=0.404). Correlation analyses revealed weak positive associations between RT and MDS-UPDRS items, while AV showed strong negative correlations with each motor item and the summary score for bradykinesia. Conclusions: This study proposes a new method to assess slowness in PD by using inertial sensor data to extract objective motor measures (RT and AV) during a serious game, allowing continuous and quantitative evaluation beyond traditional clinical scales and tests. The findings demonstrate that RT and AV extracted from gameplay can detect slowness-related motor differences, supporting the RehaBEElitation serious game as an alternative and objective digital biomarker, with potential applications in both clinical and home-based monitoring of symptom progression.

Indexed as

bradykinesiaobjective evaluationParkinson diseaseserious gameslowness

Identifiers

PMID41740142
PMCPMC12935423

What OpenQuestion holds

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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.