Evidence map›Paper›PMID 39810317›Full record

ArticleJMIR aging2025

Exploring Dance as a Therapeutic Approach for Parkinson Disease Through the Social Robotics for Active and Healthy Ageing (SI-Robotics): Results From a Technical Feasibility Study.

Roberta Bevilacqua, Elvira Maranesi, Marco Benadduci, Gabriella Cortellessa, Alessandro Umbrico, Francesca Fracasso, Giovanni Melone, Arianna Margaritini, Angela La Forgia, Pierpaolo Di Bitonto and 12 more

Abstract readClinical Study
In one paragraph

Article in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

22 authors.

Roberta BevilacquaScientific Direction, IRCCS INRCA, Via Santa Margherita 5, Ancona, 60124, Italy, 39 0718004767.ORCID 0000-0002-3851-3552
Elvira MaranesiScientific Direction, IRCCS INRCA, Via Santa Margherita 5, Ancona, 60124, Italy, 39 0718004767.ORCID 0000-0002-2414-3773
Marco BenadduciScientific Direction, IRCCS INRCA, Via Santa Margherita 5, Ancona, 60124, Italy, 39 0718004767.ORCID 0000-0002-0292-6910
Gabriella CortellessaNational Research Council-Institute of Sciences and Technologies for Cognition, Rome, Italy.ORCID 0000-0002-9835-1575
Alessandro UmbricoNational Research Council-Institute of Sciences and Technologies for Cognition, Rome, Italy.ORCID 0000-0002-1184-5944
Francesca FracassoNational Research Council-Institute of Sciences and Technologies for Cognition, Rome, Italy.ORCID 0000-0001-9442-870X
Giovanni MeloneExprivia S.p.a., Innovation Lab, Innovation, Marketing & Technology, Molfetta, Italy.ORCID 0009-0003-8568-1326
Arianna MargaritiniScientific Direction, IRCCS INRCA, Via Santa Margherita 5, Ancona, 60124, Italy, 39 0718004767.ORCID 0000-0002-3897-6530
Angela La ForgiaExprivia S.p.a., Innovation Lab, Innovation, Marketing & Technology, Molfetta, Italy.ORCID 0009-0007-5661-0755
Pierpaolo Di BitontoDepartment of Soil, Plant and Food Science, University of Bari Aldo Moro, Bari, Italy.ORCID 0000-0001-9940-4002
Ada PotenzaGrifo multimedia Srl, Bari, Italy.ORCID 0009-0001-8997-9715
Laura FioriniDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID 0000-0001-5784-3752
Carlo La ViolaDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID 0000-0003-1745-0684
Filippo CavalloDepartment of Industrial Engineering, University of Florence, Florence, Italy.ORCID 0000-0001-7432-5033
Alessandro LeoneNational Research Council of Italy - Institute for Microelectronics and Microsystems, Lecce, Italy.ORCID 0000-0002-8970-3313
Andrea CaroppoNational Research Council of Italy - Institute for Microelectronics and Microsystems, Lecce, Italy.ORCID 0000-0003-0318-8347
Gabriele RescioNational Research Council of Italy - Institute for Microelectronics and Microsystems, Lecce, Italy.ORCID 0000-0003-3374-2433
Mauro MarzoratiInstitute of Biomedical Technologies, National Research Council, Segrate, Italy.ORCID 0000-0003-1093-2162
Amedeo CestaNational Research Council-Institute of Sciences and Technologies for Cognition, Rome, Italy.ORCID 0000-0002-0703-9122
Giuseppe PelliccioniClinical Unit of Neurology, Istituto di Ricovero e Cura a Carattere Scientifico Istituto Nazionale Ricovero e Cura per Anziani (IRCCS INRCA), Ancona, Italy.ORCID 0000-0002-0377-9713
Giovanni Renato RiccardiClinical Unit of Physical Rehabilitation, Istituto di Ricovero e Cura a Carattere Scientifico Istituto Nazionale Ricovero e Cura per Anziani (IRCCS INRCA), Ancona, Italy.ORCID 0000-0002-1630-1364
Lorena RossiScientific Direction, IRCCS INRCA, Via Santa Margherita 5, Ancona, 60124, Italy, 39 0718004767.ORCID 0000-0002-5688-105X

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 symptoms. Recently, dance has started to be considered an effective intervention for people with PD. Several findings in the literature emphasize the necessity for deeper exploration into the synergistic impacts of dance therapy and exergaming for PD management. Moreover, socially engaging robotic platforms equipped with advanced interaction and perception features offer potential for monitoring patients' posture and enhancing workout routines with tailored cues. Objective: This paper presents the results of the Social Robotics for Active and Healthy Ageing (SI-Robotics) project, aimed at designing an innovative rehabilitation program targeted at seniors affected by (early-stage) PD. This study therefore aims to assess the usefulness of a dance-based rehabilitation program enriched by artificial intelligence-based exergames and contextual robotic assistance in improving motor function, balance, gait, and quality of life in patients with PD. The acceptability of the system is also investigated. Methods: The study is designed as a technical feasibility pilot to test the SI-Robotics system. For this study, 20 patients with PD were recruited. A total of 16 Irish dance-based rehabilitation sessions of 50 minutes were conducted (2 sessions per week, for 8 wks), involving 2 patients at a time. The designed rehabilitation session involves three main actors: (1) a therapist, (2) a patient, and (3) a socially interacting robot. To stimulate engagement, sessions were organized in the shape of exergames where an avatar shows patients the movements they should perform to correctly carry out a dance-based rehabilitation exercise. Results: Statistical analysis reveals a significant difference on the Performance-Oriented Mobility Assessment scale, both on balance and gait aspects, together with improvements in Short Physical Performance Battery, Unified Parkinson Disease Rating Scale-III, and Timed Up and Go test, underlying the usefulness of the rehabilitation intervention on the motor symptoms of PD. The analysis of the Unified Theory of Acceptance and Use of Technology subscales provided valuable insights into users' perceptions and interactions with the system. Conclusions: This research underscores the promise of merging dance therapy with interactive exergaming on a robotic platform as an innovative strategy to enhance motor function, balance, gait, and overall quality of life for patients grappling with PD.

Indexed as

Dance TherapyExergamingParkinson DiseaseRoboticsAgedFeasibility StudiesFemaleGaitHealthy AgingHumansMalePhysical Functional PerformancePilot ProjectsPostural BalanceQuality of LifeSocial InteractionbalancegaitIrish dancingParkinson diseaserehabilitationsocially interacting robot

Identifiers

PMID39810317
PMCPMC11750129

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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.