# Cattan PC/VR P300 dataset: EEG decoding results

P300 on a PC screen and in a VR headset

Visual P300 BCI EEG from 21 participants who used a P300-based BCI both on a personal computer and in a passive, smartphone-based virtual-reality headset, recorded with 16 electrodes at GIPSA-lab (Grenoble) in 2018 by Cattan, Andreev, Rodrigues and Congedo. Released on Zenodo (CC BY 4.0, 2019) and documented in arXiv:1903.11297; dataset ID VR.EEG.2018-GIPSA.

**Also known as** Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer · VR.EEG.2018-GIPSA · Cattan2019_VR · Zenodo 2605205 · arXiv:1903.11297

Description sources [zenodo.org](https://zenodo.org/records/2605205) · [arxiv.org](https://arxiv.org/abs/1903.11297) · [hal.science](https://hal.science/hal-02078533) · [moabb.neurotechx.com](https://moabb.neurotechx.com/docs/generated/moabb.datasets.Cattan2019_VR.html)

## Where it appears

- [Does a P300 decoder calibrated on a screen still work in VR?](https://bci.report/topics/screen-to-vr/)

## Published results

Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.

### Screen to VR · P300 across displays

Read with its protocol: [Screen to VR](https://bci.report/topics/screen-to-vr/) · Chance level 50.0% · [context-update.json](https://bci.report/data/context-update.json)

**Balanced accuracy, 4 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- Mean-window logistic regression · PC ⇄ VR, onset-corrected timing: 66.0% (61.6%–70.2%)
- Spatiotemporal shrinkage LDA · PC ⇄ VR, onset-corrected timing: 63.6% (59.6%–67.7%)
- Mean-window logistic regression · PC ⇄ VR, recorded-tag timing (sensitivity): 63.8% (61.0%–66.5%)
- Spatiotemporal shrinkage LDA · PC ⇄ VR, recorded-tag timing (sensitivity): 57.2% (55.1%–59.4%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| Mean-window logistic regression | PC ⇄ VR, onset-corrected timing | Balanced accuracy | 66.0% (61.6%–70.2%) | 21 |
| Mean-window logistic regression | PC ⇄ VR, onset-corrected timing | AUROC | 0.732 (0.671–0.785) | 21 |
| Spatiotemporal shrinkage LDA | PC ⇄ VR, onset-corrected timing | Balanced accuracy | 63.6% (59.6%–67.7%) | 21 |
| Spatiotemporal shrinkage LDA | PC ⇄ VR, onset-corrected timing | AUROC | 0.713 (0.652–0.771) | 21 |
| Mean-window logistic regression | PC ⇄ VR, recorded-tag timing (sensitivity) | Balanced accuracy | 63.8% (61.0%–66.5%) | 21 |
| Mean-window logistic regression | PC ⇄ VR, recorded-tag timing (sensitivity) | AUROC | 0.719 (0.682–0.755) | 21 |
| Spatiotemporal shrinkage LDA | PC ⇄ VR, recorded-tag timing (sensitivity) | Balanced accuracy | 57.2% (55.1%–59.4%) | 21 |
| Spatiotemporal shrinkage LDA | PC ⇄ VR, recorded-tag timing (sensitivity) | AUROC | 0.641 (0.596–0.682) | 21 |

## Source and licence

### Cattan PC/VR P300 dataset

**Credit** Grégoire Cattan, Anton Andreev, Pedro L. C. Rodrigues and Marco Congedo · Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer, Zenodo, doi:10.5281/zenodo.2605205; documentation arXiv:1903.11297.

[CC-BY-4.0 ↗](https://creativecommons.org/licenses/by/4.0/) · [Dataset record ↗](https://doi.org/10.5281/zenodo.2605205)

BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data belong to the people credited.

[All datasets →](https://bci.report/datasets/) · [All methods →](https://bci.report/methods/)

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Markdown copy of https://bci.report/datasets/vr-pc-p300/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/