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Visuomotor mismatch EEG responses over occipital cortex of freely moving human subjects.

Overview

  1. Friedrich Miescher Institute for Biomedical Research Basel Switzerland
  2. Center for Medical Image Analysis and Navigation, Department of Biomedical Engineering, University of Basel Basel Switzerland
  3. Faculty of Science, University of Basel Basel Switzerland
Institutions: Friedrich Miescher Institute (Switzerland); University of Basel (Switzerland)
Journal: eLife, volume 14, article RP108941
Dates: published online 20 August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.7554/elife.108941 · PMID 42623255 · PMCID PMC13493123 · OpenAlex W4416581402
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: EEG (modality), human (organism), mouse (organism), cognitive (subfield)
Methods: Spectral & time-frequency, Connectivity, Statistics, Physiology & signal measures
Keywords: visuomotor mismatch responses, virtual reality, EEG, predictive processing, human
MeSH: Electroencephalography*, Feedback, Sensory*, Occipital Lobe*, Visual Perception*, Adult, Female, Humans, Male, Movement, Photic Stimulation, Young Adult (* major topic)
Journal subjects: Neuroscience
Topic: Neuroscience and Music Perception (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: SNSF; Novartis Science Foundation; European Research Council (10.3030/865617)
Citations: cited by 1 paper (Europe PMC); 56 references in the paper
Research resources: MATLAB (2021b) RRID:SCR_001622

Abstract

Likely the strongest predictor of visual feedback is self-motion. In mice, the coupling between movement and visual feedback is learned with first visual experience of the world, and brief perturbations of the coupling result in strong visuomotor mismatch responses in visual cortex that possibly reflect prediction errors. In humans, predictive coding has primarily been studied using oddball paradigms, which rely on violations of stimulus probability based on recent sensory history. It was still unclear, however, whether humans exhibit visuomotor mismatch responses similar to those observed in mice. This question was important for two reasons. First, visuomotor mismatch responses in humans constitute a basis to start translating the mechanistic understanding of the circuit that computes these responses from mouse to human cortex. Second, a paradigm that can trigger strong prediction error responses and consequently requires shorter recording times would simplify experiments in a clinical setting. Here, by combining a wireless EEG recording system with a virtual reality headset, we found robust visuomotor mismatch responses in human cortex that were characterized by a reversed polarity relative to visual-evoked responses and a greater signal power than both visual responses and oddball mismatch responses.

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

Code

No file of the authors' code could be read here: it is described below, and read at its source.

Zenodo 21838550

License: CC-BY-4.0
State: the link answers, verified on 27 September 2026
Evidence: files inventoried
Size: 1 file
Software Heritage: not checked
Found in: “Data availability”
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)

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

All data generated and analyzed during this study, along with the code used for analysis, have been uploaded to Zenodo with the URL: https://zenodo.org/records/21838550.

The following dataset was generated:

SolygaM ZelechowskiM KellerG Zenodo2026Visuomotor mismatch EEG responses over occipital cortex of freely moving human subjects10.5281/zenodo.21838550PMC1349312342623255

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, pages, dates, 3 authors, 5 keywords, 11 MeSH terms, 3 funders, 54 references, 1 RRID.

Cite

This paper

Solyga, M., Zelechowski, M., & Keller, G. B. (2026). Visuomotor mismatch EEG responses over occipital cortex of freely moving human subjects. eLife, 14, RP108941. https://doi.org/10.7554/elife.108941

BibTeX

@article{solyga2026visuomotor,
author = {Solyga, Magdalena and Zelechowski, Marek and Keller, Georg B},
title = {{Visuomotor mismatch EEG responses over occipital cortex of freely moving human subjects}},
journal = {eLife},
year = {2026},
month = aug,
volume = {14},
pages = {RP108941},
publisher = {eLife Sciences Publications, Ltd},
issn = {2050-084X},
doi = {10.7554/elife.108941},
url = {https://doi.org/10.7554/elife.108941},
pmid = {42623255},
pmcid = {PMC13493123}
}

RIS

TY - JOUR
AU - Solyga, Magdalena
AU - Zelechowski, Marek
AU - Keller, Georg B
TI - Visuomotor mismatch EEG responses over occipital cortex of freely moving human subjects
T2 - eLife
J2 - eLife
PY - 2026
DA - 2026/08/20
VL - 14
SP - RP108941
SN - 2050-084X
PB - eLife Sciences Publications, Ltd
DO - 10.7554/elife.108941
UR - https://doi.org/10.7554/elife.108941
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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