OSCR

Impact of Amazonian dance on speech performance in people with Parkinson's disease.

Overview

Authors: Raquel Arigony Prates1, Carlos Cristiano Espedito Guzzo Júnior2, Maria Vitória Andreazza Duarte1, Alberto Muñoz Sánchez3, Patrícia Pauli1, Flávia Gomes Martinez1, Elren Passos-Monteiro4, Adolfo M. García5,6,7,8, Aline Nogueira Haas1,5,9, Constantina Theofanopoulou3,9,10
ORCID iDs: Constantina Theofanopoulou
  1. School of Physical Education, Physiotherapy and Dance, Federal University of Rio Grande Do Sul, Porto Alegre, RS 90690-200, Brazil
  2. Department of Sports, School of Physical Education, State University of Pará, Belém, PA 66095-490, Brazil
  3. The Rockefeller University, New York, NY 10065, USA
  4. Institute of Health Sciences, Federal University of Pará, Castanhal, PA 66050-160, Brazil
  5. Global Brain Health Institute, Trinity College Dublin, Dublin 2, Ireland/University of California, San Franciso, San Franciso, CA, USA
  6. Cognitive Neuroscience Center, Universidad de San Andrés, Buenos Aires B1644BID, Argentina
  7. Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago 9170022 Chile
  8. TELL Toolkit SA, Beethovenstraat, 1077 Amsterdam, the Netherlands
  9. Jameel Arts & Health Lab, New York University, New York, NY 10003, USA
  10. Emory University, Atlanta, GA 30322, USA
Institutions: Universidade Federal do Rio Grande do Sul (Brazil); Universidade do Estado do Pará (Brazil); Rockefeller University (United States); Universidade Federal do Pará (Brazil); Universidad de Santiago de Chile (Chile); Trinity College Dublin (Ireland); University of San Andrés (Argentina); Global Brain Health Institute (United States); New York University (United States); Emory University (United States)
Journal: iScience, volume 29, issue 8, article 117185
Dates: received 7 January 2026; accepted 28 July 2026; published online 10 August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1016/j.isci.2026.117185 · PMID 42621230 · PMCID PMC13486893 · OpenAlex W7202149278
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: human (organism), Parkinson's (population), cognitive (subfield)
Methods: Spectral & time-frequency, Connectivity, Statistics, fMRI & imaging
Keywords: Parkinson’s disease, dance, speech, language, cognition
Topic: Voice and Speech Disorders (Physiology, Medicine), according to OpenAlex
Funding: Global Brain Health Institute (GBHI ALZ UK-24-1068625); Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Institute on Aging of the National Institutes of Health (R01AG075775, 2P01AG019724); ANID; Fondecyt (1250317, 1250091); Agencia Nacional de Promoción Científica y Tecnológica (01-PICTE-2022-05-00103); Fogarty International Center (FIC); National Institute on Aging (R01AG057234, R01AG075775, R01AG21051); CARDS‐NIH; Alzheimer’s Association (SG-20-725707); Rainwater Charitable Foundation’s Tau Consortium; Bluefield Project to Cure Frontotemporal Dementia
Citations: not cited yet (Europe PMC); 92 references in the paper

Abstract

Dance interventions improve limb motor function in Parkinson’s disease (PD), yet their impact on speech-related motor control and overall language (e.g., semantics) remains unexplored. To test this, we conducted a 12-week exploratory clinical trial comparing Amazonian dance (two groups: north and south) with a matched-physical intensity control (Nordic walking) and ran automated speech and language analysis pre- and post-intervention. The clearest corrected effect was in the dance north group, who showed improvement in prosody (main tone) compared with Nordic walking. We observed additional consistent signals (uncorrected) for prosody and semantic organization (granularity), particularly when both dance groups were pooled relative to the Nordic walking group. These findings were further supported by subject-level consistency and covariate-adjusted analyses. Our exploratory study suggests that dance may enhance speech-motor and language functions in PD, potentially through auditory-motor coupling, improved timing, and the engagement of overlapping neural substrates between dance and speech and/or language.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper says that its authors' code is available on request: it was not published with the paper, so there is nothing to verify.

The paper's code and data availability statement is in the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none (its code is available on request), so it has no map.

Data

Datasets cited

Data and code availability

• Coded raw numerical data corresponding to TELL features and analysis data have been shared in supplementary tables. Fully raw data (i.e., voice recordings) cannot be shared because voice is personally identifying information. • No custom code or software was generated or used in this study. • Any additional information required to reanalyze the data reported in this paper is available from Aline Nogueira Haas () and Constantina Theofanopoulou () upon request.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 5 keywords, 12 funders, 92 references.

Cite

This paper

Prates, R. A., Espedito Guzzo Júnior, C. C., Andreazza Duarte, M. V., Sánchez, A. M., Pauli, P., Martinez, F. G., Passos-Monteiro, E., García, A. M., Haas, A. N., & Theofanopoulou, C. (2026). Impact of Amazonian dance on speech performance in people with Parkinson's disease. iScience, 29(8), 117185. https://doi.org/10.1016/j.isci.2026.117185

BibTeX

@article{prates2026impact,
author = {Prates, Raquel Arigony and Espedito Guzzo Júnior, Carlos Cristiano and Andreazza Duarte, Maria Vitória and Sánchez, Alberto Muñoz and Pauli, Patrícia and Martinez, Flávia Gomes and Passos-Monteiro, Elren and García, Adolfo M. and Haas, Aline Nogueira and Theofanopoulou, Constantina},
title = {{Impact of Amazonian dance on speech performance in people with Parkinson's disease}},
journal = {iScience},
year = {2026},
month = aug,
volume = {29},
number = {8},
pages = {117185},
publisher = {Elsevier},
issn = {2589-0042},
doi = {10.1016/j.isci.2026.117185},
url = {https://doi.org/10.1016/j.isci.2026.117185},
pmid = {42621230},
pmcid = {PMC13486893}
}

RIS

TY - JOUR
AU - Prates, Raquel Arigony
AU - Espedito Guzzo Júnior, Carlos Cristiano
AU - Andreazza Duarte, Maria Vitória
AU - Sánchez, Alberto Muñoz
AU - Pauli, Patrícia
AU - Martinez, Flávia Gomes
AU - Passos-Monteiro, Elren
AU - García, Adolfo M.
AU - Haas, Aline Nogueira
AU - Theofanopoulou, Constantina
TI - Impact of Amazonian dance on speech performance in people with Parkinson's disease
T2 - iScience
J2 - iScience
PY - 2026
DA - 2026/08/10
VL - 29
IS - 8
SP - 117185
SN - 2589-0042
PB - Elsevier
DO - 10.1016/j.isci.2026.117185
UR - https://doi.org/10.1016/j.isci.2026.117185
LA - en
ER -

CSL-JSON

{
"id": "10.1016/j.isci.2026.117185",
"type": "article-journal",
"title": "Impact of Amazonian dance on speech performance in people with Parkinson's disease",
"container-title": "iScience",
"author": [
{
"family": "Prates",
"given": "Raquel Arigony"
},
{
"family": "Espedito Guzzo Júnior",
"given": "Carlos Cristiano"
},
{
"family": "Andreazza Duarte",
"given": "Maria Vitória"
},
{
"family": "Sánchez",
"given": "Alberto Muñoz"
},
{
"family": "Pauli",
"given": "Patrícia"
},
{
"family": "Martinez",
"given": "Flávia Gomes"
},
{
"family": "Passos-Monteiro",
"given": "Elren"
},
{
"family": "García",
"given": "Adolfo M."
},
{
"family": "Haas",
"given": "Aline Nogueira"
},
{
"family": "Theofanopoulou",
"given": "Constantina"
}
],
"container-title-short": "iScience",
"volume": "29",
"issue": "8",
"page": "117185",
"DOI": "10.1016/j.isci.2026.117185",
"PMID": "42621230",
"PMCID": "PMC13486893",
"ISSN": "2589-0042",
"publisher": "Elsevier",
"URL": "https://doi.org/10.1016/j.isci.2026.117185",
"language": "en",
"issued": {
"date-parts": [
[
2026,
8,
10
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1002/alz.71365 [code]
Benchmarking speech biomarkers of Alzheimer's against cognitive and neural measures.
Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
In common: cognitive, 4 references
[2] doi:10.1038/s43856-026-01606-6 [code]
Validation of remote multimodal AI screening for Parkinson disease across diverse settings.
Journal: Communications medicine
In common: Parkinson's, 4 references
[3] doi:10.1016/j.ibneur.2026.06.002
Altered static and dynamic functional network connectivity in Parkinson's disease: A multisite functional magnetic resonance imaging study.
Journal: IBRO neuroscience reports
In common: Parkinson's, 3 references
[4] doi:10.1038/s41531-026-01408-6 [code]
A stacked multi-classifier for multi-modal data fusion in transcranial sonography-based Parkinson's disease assessment.
Journal: NPJ Parkinson's disease
In common: Parkinson's, 3 references
[5] doi:10.1371/journal.pone.0348957 [code]
Steps against the burden of Parkinson's disease (StepuP): Protocol of a randomized controlled trial elucidating the biomechanical and neurophysiological mechanisms of a speed dependent treadmill training intervention.
Journal: PloS one
In common: Parkinson's, 3 references
[6] doi:10.1038/s41531-026-01384-x [code]
In-vivo iron mapping in patients with Parkinson's disease using deep learning-based susceptibility source separation MRI.
Journal: NPJ Parkinson's disease
In common: Parkinson's, 3 references
[7] doi:10.3389/fnins.2026.1862571
Integrated bulk, single-cell, and spatial transcriptomic analyses prioritize NOTCH1 as a candidate gene associated with neurovascular and immune-related alterations in Parkinson's disease.
Journal: Frontiers in neuroscience
In common: Parkinson's, 2 references
[8] doi:10.26508/lsa.202503551 [code]
Convergent transcriptomic signature in iPSC-dopaminergic neurons of hereditary Parkinson's disease.
Journal: Life science alliance
In common: Parkinson's, 2 references
[9] doi:10.1038/s41591-026-04525-0
Human embryonic stem cell-derived dopaminergic cells for Parkinson's disease: a phase 1/2 open-label trial.
Journal: Nature medicine
In common: Parkinson's, 2 references
[10] doi:10.3390/bioengineering13080917 [code]
Pilot Study Employing a Machine Learning Approach as a Potential Method for Predicting Parkinson's Disease Using Voice as a Digital Biomarker and the SHAP Approach for Feature Engineering.
Journal: Bioengineering (Basel, Switzerland)
In common: Parkinson's, 2 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.