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Motor imagery / rest

ds003810: EEG decoding results

OpenNeuro ds003810 is an EEG dataset of kinesthetic motor imagery of dominant-hand grasping versus rest, recorded from 10 participants without previous BCI experience using a low-cost OpenBCI Cyton + Daisy board with 15 electrodes over sensorimotor areas. Released on OpenNeuro by Peterson et al. and described in Data in Brief (2022).

Also known as ds003810 · Motor Imagery vs Rest - Low-Cost EEG System · A motor imagery vs. rest dataset with low-cost consumer grade EEG hardware · Peterson et al. (2022)

Description sources openneuro.org · pmc.ncbi.nlm.nih.gov · doi.org · doi.org

Where it appears

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.

Core matrix · motor imagery & rest

Read with its protocol: Core matrix (home page) · Chance level 50.0% · experiments.json

Spectral ridge
54.9% (53.2%–56.7%)
CSP+LDA
47.1% (43.8%–50.2%)
LaBraM
53.5% (51.4%–55.4%)
CBraMod
62.9% (59.6%–66.5%)
EEGNet
71.0% (65.0%–76.3%)
Balanced accuracy, 5 configurations. Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.
MethodConditionMetricValuePeople
Spectral ridgeRest versus right-hand imageryBalanced accuracy54.9%53.2%–56.7%10
CSP+LDARest versus right-hand imageryBalanced accuracy47.1%43.8%–50.2%10
LaBraMRest versus right-hand imageryBalanced accuracy53.5%51.4%–55.4%10
CBraModRest versus right-hand imageryBalanced accuracy62.9%59.6%–66.5%10
EEGNetRest versus right-hand imageryBalanced accuracy71.0%65.0%–76.3%10

Pretraining · fixed readout

Read with its protocol: Does pretraining help? · deployment-topics.json

MethodConditionMetricValuePeople
LaBraMMI / rest · pretrainedBalanced accuracy53.5%10
LaBraMMI / rest · random initialization (mean)Balanced accuracy55.9%10
CBraModMI / rest · pretrainedBalanced accuracy62.9%10
CBraModMI / rest · random initialization (mean)Balanced accuracy56.5%10

Pretraining · train-selected readout

Read with its protocol: Does pretraining help? · deployment-topics.json

MethodConditionMetricValuePeople
LaBraMMI / rest · pretrainedBalanced accuracy52.9%10
LaBraMMI / rest · random initialization (mean)Balanced accuracy56.5%10
CBraModMI / rest · pretrainedBalanced accuracy62.7%10
CBraModMI / rest · random initialization (mean)Balanced accuracy54.9%10

Pretraining · fixed classical control

Read with its protocol: Does pretraining help? · deployment-topics.json

MethodConditionMetricValuePeople
Log-covariance ridgeMI / restBalanced accuracy52.3%48.5%–56.4%10

Source and licence

ds003810

Credit Peterson et al. · OpenNeuro ds003810, version 2.0.2. Study: https://pmc.ncbi.nlm.nih.gov/articles/PMC9114495/

CC0-1.0 ↗ · Dataset record ↗

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.

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