2023
DOI: 10.1038/s41597-023-02454-y
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A magnetoencephalography dataset during three-dimensional reaching movements for brain-computer interfaces

Hong Gi Yeom,
June Sic Kim,
Chun Kee Chung

Abstract: Studying the motor-control mechanisms of the brain is critical in academia and also has practical implications because techniques such as brain-computer interfaces (BCIs) can be developed based on brain mechanisms. Magnetoencephalography (MEG) signals have the highest spatial resolution (~3 mm) and temporal resolution (~1 ms) among the non-invasive methods. Therefore, the MEG is an excellent modality for investigating brain mechanisms. However, publicly available MEG data remains scarce due to expensive MEG eq… Show more

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Cited by 4 publications
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