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Linking Embodiment, Simulator Sickness, and EEG Activity During XR-BCI Use: A Single-Participant Case Study.

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Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

Text · 3 lines · 627 B · no license

  1. This archive contains the OpenViBE scenarios, configuration files, classifiers, and auxiliary resources used in the motor‑imagery BCI experiments described in the manuscript. All scenario files are provided in their original .xml format and can be opened directly in OpenViBE Designer (version 3.1.0). Classifier files (.lua), configuration files (.cfg), and data streams (.ov) are included exactly as used during development and testing.
  2. No raw EEG datasets are provided due to ethical restrictions. The files in this package document the full acquisition, CSP training, classifier training, and online decoding pipelines

README.txt, no license · at the source

Overview

  1. Department of Physiotherapy, Escola Superior de Saúde do Alcoitão, 2649-506 Alcabideche, Portugal
  2. iBiMED—Instituto de Biomedicina, Departamento de Ciências Médicas, Universidade de Aveiro, 3810-193 Aveiro, Portugal
  3. Center for Interdisciplinary Research in Health (CIIS), Faculty of Health Sciences and Nursing, Universidade Católica Portuguesa, 4160-005 Porto, Portugal
Journal: Life (Basel, Switzerland), volume 16, issue 8, article 1352
Dates: received 2 July 2026; accepted 10 August 2026; published online 17 August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3390/life16081352 · PMID 42653040 · PMCID PMC13514828 · OpenAlex W7167713284
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), human (organism), other condition (population), systems (subfield)
Methods: Spectral & time-frequency, Preprocessing, Connectivity, Machine learning, Statistics
Keywords: embodiment, electroencephalography, virtual reality, brain–computer interface, simulator sickness, spinal cord injury
Topic: Virtual Reality Applications and Impacts (Human-Computer Interaction, Computer Science), according to OpenAlex
Funding: Portuguese Foundation for Science and Technology (FCT)
Citations: not cited yet (Europe PMC); 42 references in the paper

Abstract

Background: Subjective experience is increasingly recognised as an important component of brain–computer interface (BCI) performance in extended reality (XR) environments. Although embodiment and simulator sickness are known to influence user experience, their relationships with cortical activity during XR–BCI operation remain poorly understood. Building upon our previous investigations of embodiment and simulator sickness in XR–BCIs, the present study examined whether these subjective dimensions are associated with distinct neurophysiological patterns during repeated XR–BCI use in a participant with chronic spinal cord injury (SCI). Methods: Seventeen XR–BCI sessions performed by a participant with chronic complete SCI were analysed. Bayesian correlation analyses examined associations among embodiment, simulator sickness, BCI performance, and EEG activity. Multiple linear regression was used to identify variables independently associated with sensorimotor beta activity, and the robustness of the regression findings was evaluated using bootstrap estimation and leave-one-out sensitivity analyses. Results: Bayesian analyses identified two principal patterns of association. Sense of embodiment was positively associated with frontal theta activity (F3), whereas simulator sickness showed a negative association with sensorimotor beta activity (C3–C4). As expected, classifier acquisition accuracy was strongly associated with subsequent BCI performance. Multiple regression demonstrated that simulator sickness was the only variable independently associated with C3–C4 beta activity after accounting for embodiment and BCI performance. This association remained robust following bootstrap estimation and leave-one-out sensitivity analyses. Conclusions: Although limited to a single participant, these findings suggest that different dimensions of subjective experience during XR–BCI operation are associated with partially distinct neurophysiological correlates. In particular, simulator sickness was the variable most consistently associated with sensorimotor beta activity across all analyses. These findings provide a foundation for future longitudinal investigations of the neural mechanisms linking subjective experience and cortical dynamics during XR–BCI use.

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

Repository

Its files are read in the Code ↔ Paper reader above.

OSF 9hmxj

License: none: the authors keep all their rights
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Size: 3 files
Software Heritage: not checked
Found in: “Data Availability Statement”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link answers (HTTP 200)
  • 27 September 2026: the link answers (HTTP 200)
1 file

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

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;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • 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 Statement

The data are not publicly available due to patient confidentiality, privacy, and ethical restrictions. A description of all analysis scripts (OpenViBE scenario files) is available in a public repository (https://osf.io/9hmxj/overview?view_only=c74da968c4b443fe88502dc5304d474e) (accessed on 9 August 2026). The repository includes representative data and a detailed description of the BrainVision Analyzer preprocessing workflow sufficient to reproduce the analysis pipeline.

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, 3 authors, 6 keywords, 1 funder, 40 references.

Cite

This paper

Tomás, D. J., Pais-Vieira, M., & Pais-Vieira, C. (2026). Linking Embodiment, Simulator Sickness, and EEG Activity During XR-BCI Use: A Single-Participant Case Study. Life (Basel, Switzerland), 16(8), 1352. https://doi.org/10.3390/life16081352

BibTeX

@article{tomas2026linking,
author = {Tomás, Diogo João and Pais-Vieira, Miguel and Pais-Vieira, Carla},
title = {{Linking Embodiment, Simulator Sickness, and EEG Activity During XR-BCI Use: A Single-Participant Case Study}},
journal = {Life (Basel, Switzerland)},
year = {2026},
month = aug,
volume = {16},
number = {8},
pages = {1352},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2075-1729},
doi = {10.3390/life16081352},
url = {https://doi.org/10.3390/life16081352},
pmid = {42653040},
pmcid = {PMC13514828}
}

RIS

TY - JOUR
AU - Tomás, Diogo João
AU - Pais-Vieira, Miguel
AU - Pais-Vieira, Carla
TI - Linking Embodiment, Simulator Sickness, and EEG Activity During XR-BCI Use: A Single-Participant Case Study
T2 - Life (Basel, Switzerland)
J2 - Life (Basel)
PY - 2026
DA - 2026/08/17
VL - 16
IS - 8
SP - 1352
SN - 2075-1729
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/life16081352
UR - https://doi.org/10.3390/life16081352
LA - en
ER -

CSL-JSON

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"given": "Diogo João"
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