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# Eye-BCI Motor Execution dataset from Guttmann-Flury et al 2025

Eye-BCI Motor Execution dataset from Guttmann-Flury et al 2025.

## Dataset Overview

- **Code**: GuttmannFlury2025-ME
- **Paradigm**: imagery
- **DOI**: 10.1038/s41597-025-04861-9
- **Subjects**: 31
- **Sessions per subject**: 3
- **Events**: left_hand=1, right_hand=2
- **Trial interval**: [0, 4] s
- **File format**: BDF

## Acquisition

- **Sampling rate**: 1000.0 Hz
- **Number of channels**: 66
- **Channel types**: eeg=64, eog=1, stim=1
- **Channel names**: FP1, FPZ, FP2, AF3, AF4, F7, F5, F3, F1, FZ, F2, F4, F6, F8, FT7, FC5, FC3, FC1, FCZ, FC2, FC4, FC6, FT8, T7, C5, C3, C1, CZ, C2, C4, C6, T8, TP7, CP5, CP3, CP1, CPZ, CP2, CP4, CP6, TP8, P7, P5, P3, P1, PZ, P2, P4, P6, P8, PO7, PO5, PO3, POZ, PO4, PO6, PO8, O1, OZ, O2, CB1, CB2
- **Montage**: standard_1005
- **Hardware**: Neuroscan Quik-Cap 65-ch, SynAmps2
- **Reference**: right mastoid (M1)
- **Ground**: forehead
- **Sensor type**: Ag/AgCl
- **Line frequency**: 50.0 Hz
- **Online filters**: {'highpass_time_constant_s': 10}

## Participants

- **Number of subjects**: 31
- **Health status**: healthy
- **Age**: mean=28.3, min=20.0, max=57.0
- **Gender distribution**: female=11, male=20
- **Species**: human

## Experimental Protocol

- **Paradigm**: imagery
- **Number of classes**: 2
- **Class labels**: left_hand, right_hand
- **Trial duration**: 7.5 s
- **Study design**: Multi-paradigm BCI (MI/ME/SSVEP/P300). MI and ME: 2-class hand grasping, 40 trials/session, up to 3 sessions per subject.
- **Feedback type**: none
- **Stimulus type**: visual rectangle cue
- **Stimulus modalities**: visual
- **Primary modality**: visual
- **Synchronicity**: synchronous
- **Mode**: offline

## HED Event Annotations

Schema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser

```
  left_hand
    ├─ Sensory-event, Experimental-stimulus, Visual-presentation
    └─ Agent-action
       └─ Imagine
          ├─ Move
          └─ Left, Hand

  right_hand
    ├─ Sensory-event, Experimental-stimulus, Visual-presentation
    └─ Agent-action
       └─ Imagine
          ├─ Move
          └─ Right, Hand

```
## Paradigm-Specific Parameters

- **Detected paradigm**: motor_imagery
- **Imagery tasks**: left_hand, right_hand
- **Cue duration**: 2.0 s
- **Imagery duration**: 4.0 s

## Data Structure

- **Trials**: 2520
- **Trials context**: 63 sessions x 40 trials = 2520 (MI only, default)

## BCI Application

- **Applications**: motor_control
- **Environment**: laboratory
- **Online feedback**: False

## Tags

- **Pathology**: Healthy
- **Modality**: Motor
- **Type**: Research

## Documentation

- **DOI**: 10.1038/s41597-025-04861-9
- **License**: CC0
- **Investigators**: Eva Guttmann-Flury, Xinjun Sheng, Xiangyang Zhu
- **Institution**: Shanghai Jiao Tong University
- **Country**: CN
- **Publication year**: 2025

## References

Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Hochenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896

Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8

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