Closed-loop cursor control: the instructed right or left target, dry electrodes

Shin2022 · closed-loop motor imagery EEG (Figshare 20383716): EEG decoding results

Shin2022 (Figshare 20383716) holds the recordings of a closed-loop motor imagery cursor study: 10 healthy participants, one recording day each, moved a cursor toward an instructed right or left target with visual feedback, recorded with a 16-channel dry-electrode g.tec g.Nautilus headset at 250 Hz. The release is organised into live and simulated recordings, each under three experimental conditions (BW, NT and CV), following the authors’ parallel design with a BCI simulator. Released by Hyonyoung Shin, Daniel Suma and Bin He under CC BY 4.0 and described in Frontiers in Human Neuroscience (2022). Only the live human recordings are used here.

Also known as Shin2022 · Figshare 20383716 · Data from: Closed-loop motor imagery EEG simulation for brain-computer interfaces · Shin, Suma and He (2022)

Description sources doi.org · api.figshare.com · www.frontiersin.org

Where it appears

Published results

Each figure comes from the reviewed download linked in its group. One row is above another only where their 95% intervals do not overlap.

Data quality · the instructed right or left target, a participant held out entirely

Source page: Checked end to end · data-quality-update.json

MethodConditionMetricValuePeople
Normalized spectral ridgeA participant held out entirely · the first second of feedback, signal-valid windowsBalanced accuracy52.59%51.51%–53.66%Balanced accuracy pooled over all signal-valid windows: 52.55%.10
Retrospective duration controlcomparatorA participant held out entirely · the whole feedback duration only, known after the trial ends (no EEG)Balanced accuracy52.33%50.87%–54.02%Balanced accuracy pooled over all signal-valid windows: 52.15%.10
Participant-weighted training priorcomparatorA participant held out entirely · no inputBalanced accuracy50.00%Always the larger training class, each training participant weighted equally: every person gets the same score, so there is no interval.10

Of 110 runs in the release’s human recordings, 9 pairs are byte-identical, leaving 101 distinct runs; 1 incomplete run is held whole. The 100 complete runs hold 2,400 closed feedback windows: 167 end within the first second; of the other 2,233, 13 are constant on at least one channel in their first second, leaving 2,220 signal-valid windows (92.5% of the closed windows), with both targets for all 10 participants. All three arms are scored on them, with participant-bootstrap intervals over 10,000 resamples.

The scores cover the signal-valid windows only: feedback lasting at least one second, and a first second that is finite with positive 1–40 Hz power on all 16 channels. The label is the instructed target in closed-loop cursor recordings, which carry visual, controller and behaviour confounds. The duration control reads the whole feedback duration, known only after the trial ends, so it checks a confound; the spectral arm sits close to it, and no test between arms was run. Ten participants, one recording day each; the intervals are descriptive.

Source and licence

Shin2022 · closed-loop motor imagery EEG (Figshare 20383716)

Credit Hyonyoung Shin, Daniel Suma and Bin He · Data from: Closed-loop motor imagery EEG simulation for brain-computer interfaces, figshare, doi:10.6084/m9.figshare.20383716.v1, CC BY 4.0. Paper: Hyonyoung Shin, Daniel Suma and Bin He, Closed-loop motor imagery EEG simulation for brain-computer interfaces, Frontiers in Human Neuroscience 16:951591 (2022), doi:10.3389/fnhum.2022.951591. Funding: NIH AT009263. Modifications: canonical deduplication of the byte-identical runs, first-second window selection and signal-validity filtering. Derived analysis by BCI Report; not endorsed by the authors.

CC BY 4.0 ↗ · Dataset record ↗

BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data remain their creators’.

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Cite this page

BCI Report (2026). Shin2022 · closed-loop motor imagery EEG (Figshare 20383716): EEG decoding results. https://bci.report/datasets/shin2022/

Figures from release data-quality-update-20261020 (2026-10-20). Cite the upstream dataset as well: its credit is on this page.

Every release is archived on Zenodo: doi:10.5281/zenodo.23123296. BibTeX for the site and its releases → · CITATION.cff ↗