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.
The 2 matches
- [1] § Methods › Endpoints › Secondary endpoints. ↔ check_scripts/check_combined_data_bologna.py, lines 105–123 · score 0.65 · rectus femoris, gluteus medius, EMG
- [2] § Methods › Data collection procedures › Synchronization procedure of multimodal recordings. ↔ sync_scripts/qualisys2lsl.py, lines 11–30 · score 0.51 · Lab Streaming Layer, LSL
Paper
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Python · 127 lines · 4.2 KB · no license · 1 match
check_combined_data_bologna.py at commit 3ee7165, no license · at the source
Overview
and 13 other authors
Mayna Ratanapongleka7, Husna Razee7, Frederic von Wegner7,8, Bernadette C. M. van Wijk1,9, Sjoerd M. Bruijn1, Deepak K. Ravi4, Yoshiro Okubo7,8, Navrag B. Singh4,10, Matthew Brodie7, Fabio La Porta6, Jeffrey M. Hausdorff5,11,12, Walter Maetzler2, Jaap H. van Dieën1- Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, Netherlands
- Department of Neurology, University Hospital Schleswig-Holstein and Kiel University, Kiel, Germany
- Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi”, University of Bologna, Bologna, Italy
- Institute for Biomechanics, ETH Zürich, Zürich, Switzerland
- Center for the Study of Movement, Cognition, and Mobility, Neurological Institute, Tel Aviv Sourasky Medical Center, Israel
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- University of New South Wales, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
- Department of Neurology, Amsterdam University Medical Center, Amsterdam Neuroscience, University of Amsterdam, Amsterdam, the Netherlands
- Future Health Technologies Programme, Singapore-ETH Centre, Singapore
- Department of Physical Therapy, Gray Faculty of Medical & Health Sciences & Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Rush Alzheimer’s Disease Center, Rush University Medical Center and Department of Orthopaedic Surgery, Rush Medical College, Chicago, USA
Abstract
Objective: Parkinson’s disease can impair gait and stability, leading to reduced independence and increased fall risk. While speed dependent treadmill training (SDTT) is clinically effective, the specific biomechanical and neurophysiological mechanisms driving these improvements remain unclear. The “StepuP” multicenter randomized controlled trial aims to elucidate these mechanisms and determine whether training enriched with virtual reality or mechanical perturbations (SDTT+) enhances gait efficacy and transfer to daily life.
Methods: We will recruit 126 individuals with Parkinson’s disease across four clinical sites and 21 healthy older adults as a reference group. Participants will be randomized to receive either standard SDTT or SDTT+ for 12 sessions. To capture the trajectory of recovery and retention, assessments will occur at three distinct timepoints: baseline, post-intervention, and a 12-week follow-up, each assessment including synchronized 64-channel electroencephalography (EEG), electromyography (EMG), and 3D kinematics. This multimodal setup allows for the quantification of cortical beta-band activity, corticomuscular coherence, and stability-related foot placement control. Furthermore, we will assess participant’s satisfaction, usability, and engagement through questionnaires and interviews to understand individual adherence and barriers to training.
Significance: The primary clinical endpoint is comfortable overground walking speed. We hypothesize that gait improvements are mediated by improved stability-related foot placement and cortical sensorimotor integration. By correlating lab-based mechanistic changes with real-world mobility patterns and participant experiences, this study seeks to identify specific pathophysiological mechanisms engaged during the treadmill training. These insights will help distinguish responders from non-responders, facilitating the development of personalized, acceptable, and effective rehabilitation strategies.
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juliuswelzel/stepup_setup
3ee7165660bfae8c22db820f57892498919fb53c, 26 June 2025Availability: 1 check, the latest on 27 September 2026: the link answers
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check_combined_data_sydn — Python, 106 lines, shown from its sourceey.py - check_scripts/
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check_mocap.py — Python, 48 lines, shown from its source - check_scripts/
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cometa2lsl.py — Python, 97 lines, shown from its source - sync_scripts/
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gtec2lsl.cpp — C++, 549 lines, shown from its source - sync_scripts/
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pytrigno.py — Python, 290 lines, shown from its source - sync_scripts/
qualisys2lsl.py — Python, 77 lines, 1 match, shown from its source - sync_scripts/
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Tracing map
Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.
What the map holds:
- 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
- 44 scripts, each with its path and the digest of its content;
- 2 matches between paragraphs of the paper and lines of the code (method lexical-v1);
- neither the text of the paper nor the code itself.
Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.
Data
No dataset and no data link were found in the paper.
Data Availability
Deidentified research data will be made publicly available when the study is completed and published. Data will be published open access for further use of the dataset beyond the goals of the StepuP project on OpenNeuro and the Michael J. Fox Foundation (MJFF) database.
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 33 authors, 13 MeSH terms, 7 funders, 87 references.
Cite
This paper
van Leeuwen, A. M., Welzel, J., D’Ascanio, I., Lang, C., Vinod, V., Görrisen, P., Geritz, J., Hansen, C., Gazit, E., Tov, S. S., Prusak, R., Casadei, I., Contri, A., Tampellini, F., Pellicciari, L., Lopane, G., Buonaura, G. C., Palmerini, L., Zahid, N., . . . van Dieën, J. H. (2026). 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. PloS one, 21(6), e0348957. https://
BibTeX
@article{vanleeuwen2026s
author = {van Leeuwen, Anina Moira and Welzel, Julius and D’Ascanio, Ilaria and Lang, Charlotte and Vinod, Vaishali and Görrisen, Pia and Geritz, Johanna and Hansen, Clint and Gazit, Eran and Tov, Shahar Siman and Prusak, Revital and Casadei, Ilaria and Contri, Angela and Tampellini, Francesca and Pellicciari, Leonardo and Lopane, Giovanna and Buonaura, Giovanna Calandra and Palmerini, Luca and Zahid, Noman and Mehwish, Mehwish and Ratanapongleka, Mayna and Razee, Husna and von Wegner, Frederic and van Wijk, Bernadette C. M. and Bruijn, Sjoerd M. and Ravi, Deepak K. and Okubo, Yoshiro and Singh, Navrag B. and Brodie, Matthew and La Porta, Fabio and Hausdorff, Jeffrey M. and Maetzler, Walter and van Dieën, Jaap H.},
title = {{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},
year = {2026},
month = jun,
volume = {21},
number = {6},
pages = {e0348957},
publisher = {PLOS},
issn = {1932-6203},
doi = {10.1371/
url = {https://
pmid = {42348515},
pmcid = {PMC13298929}
}
RIS
TY - JOUR
AU - van Leeuwen, Anina Moira
AU - Welzel, Julius
AU - D’Ascanio, Ilaria
AU - Lang, Charlotte
AU - Vinod, Vaishali
AU - Görrisen, Pia
AU - Geritz, Johanna
AU - Hansen, Clint
AU - Gazit, Eran
AU - Tov, Shahar Siman
AU - Prusak, Revital
AU - Casadei, Ilaria
AU - Contri, Angela
AU - Tampellini, Francesca
AU - Pellicciari, Leonardo
AU - Lopane, Giovanna
AU - Buonaura, Giovanna Calandra
AU - Palmerini, Luca
AU - Zahid, Noman
AU - Mehwish, Mehwish
AU - Ratanapongleka, Mayna
AU - Razee, Husna
AU - von Wegner, Frederic
AU - van Wijk, Bernadette C. M.
AU - Bruijn, Sjoerd M.
AU - Ravi, Deepak K.
AU - Okubo, Yoshiro
AU - Singh, Navrag B.
AU - Brodie, Matthew
AU - La Porta, Fabio
AU - Hausdorff, Jeffrey M.
AU - Maetzler, Walter
AU - van Dieën, Jaap H.
TI - 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
T2 - PloS one
J2 - PLoS One
PY - 2026
DA - 2026/
VL - 21
IS - 6
SP - e0348957
SN - 1932-6203
PB - PLOS
DO - 10.1371/
UR - https://
LA - en
ER -
CSL-JSON
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