This repository contains the raw data associated with the PLOS ONE paper:
📄 Read the paper
📄 DOI: https://doi.org/10.1371/journal.pone.0299873
At the start of each trial, participants placed both hands (prone) at the reference (home) position—arms opened to shoulder width, with palms resting at the edge of the table (Fig. 3a, Baseline phase).
The first cue (“left”) signaled movement of the non-dominant hand (Fig. TDS phase). During this phase, participants repeatedly extended and retracted their non-dominant (left) hand straight forward at their own pace, keeping it above the table without contact.
After a random delay of 2–3 seconds, a “wait” cue instructed them to stop and hold their position, placing the hand lightly on the table while maintaining the same horizontal (z-axis) position.
One second later, a distinct tone cued participants to extend their dominant hand (occluded from view) to match the fingertip extension of the non-dominant hand (Fig., BDM, BDM-v). They had 2 seconds to complete this matching task, after which they returned both hands to the home position.
A second tone then instructed them to reproduce the same extension using only the dominant hand (Fig. UDR, UDR-v), relying on proprioception. After 2 seconds, a “relax” cue returned the hand to the home position.
Each trial ended with a randomized inter-trial rest period of 1–2 seconds. EEG and Motion capture were recorded simultaneously. Please read the article for further information.
This study introduces an EEG-based method for evaluating bilateral proprioception, comparing it to movement-only conditions with and without visual feedback.
We analyzed sensorimotor event-related spectral perturbations in the µ and low-β bands in both skilled musicians and control participants. The skilled group showed reduced suppression during bilateral tasks, suggesting differences in neural processing.
Interestingly, this reduced suppression did not translate into smaller proprioceptive errors. Visual feedback significantly improved performance in controls, but not in the skilled group.
These findings highlight µ and low-β suppression as potential neuromarkers of proprioceptive processing, with implications for understanding skill, motor learning, and rehabilitation.
Dataset-access-for-PLOS-ONE/
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├── S01/
│ ├── EEG/
│ └── moCAP/
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├── S02/
│ ├── EEG/
│ └── moCAP/
│
├── ...
│
├── subgroup.mat
├── readmeEEG.txt
├── readmeMOCAP.txt
└── README.md
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Sebastian Rueda Parra (PhD)
Stratton Veterans Affairs Medical Center, Albany -
Eric Wolbrecht (PhD)
Mechanical Engineering, University of Idaho -
Joel Perry (PhD)
Mechanical Engineering, University of Idaho -
Disha Gupta (PhD)
Stratton Veterans Affairs Medical Center, Albany, NY
Department of Electrical and Computer Engineering, University at Albany (SUNY)
Rueda Parra S, Perry JC, Wolbrecht ET, Gupta D (2024)
Neural correlates of bilateral proprioception and adaptation with training.
PLoS ONE 19(3): e0299873.
https://doi.org/10.1371/journal.pone.0299873
This dataset is shared for research and result replication purposes.
If you have questions, are interested in collaboration, or need clarification, please contact:
Sebastian Rueda Parra
📧 sebastianruedaparra13@gmail.com
📧 sebastian@neurotechcenter.org