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A multi-modal neuroimaging dataset combining structural MRI (T1w), magnetoencephalography (MEG), and EEG recorded during electrical median nerve stimulation at the right wrist. Participants responded to each stimulus by lifting the left index finger as quickly as possible, allowing study of somatosensory and motor responses. Anatomical fiducials were digitized to align MEG with MRI, and event triggers mark stimuli and finger-lift responses.

Participants

5

Size

3.07 GB

Version

v1.0.0

Updated

Jun 28, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.nm000330-blue…

Participants

22

Channels

60 (10-10)

HED

v8.4.0

Size

58.2 GB

Version

v1.0.0

Updated

Oct 8, 2026

This dataset contains epidural electrocorticography (ECoG) recordings from a single participant with incomplete tetraplegia, implanted with the WIMAGINE wireless chronic implant over left primary motor and sensory cortex. The participant executed or imagined right-arm reaching and wrist-extension movements, either singly or simultaneously (one executed, one imagined). The release is a derivative, comprising 1-250 Hz band-pass filtered signals from 32 channels across eight sessions, with trial events and M1/S1 electrode labels. It supports study of how motor imagination and execution are decoupled in orthogonal neural representations.

Participants

1

Size

11.3 GB

Version

v1.0.0

Updated

Oct 8, 2026

…Signatures of electrical stimulation driven network interactions in the human limbic system…

Participants

8

Citations

18

Size

19.5 GB

Version

v1.0.0

Updated

Jun 25, 2026

…11 intuitive upper-limb movement tasks: 6 reaching + 3 grasping + 2 wrist…

Participants

25

Channels

71 (10-10)

Citations

87

HED

v8.4.0

Size

326 GB

Version

v1.0.2

Updated

Aug 18, 2026

EEG recordings of kinesthetic motor imagery of a right-hand ball squeeze at three graded force levels (10%, 40% and 70% of maximal voluntary contraction) from 10 healthy participants. Data were acquired with a 14-channel Emotiv EPOC headset at 128 Hz, with five 5-second imagery cues per 40-second recording. The dataset supports characterization and classification of motor imagery force levels for brain-computer interface research. The associated paper (Journal of Neural Engineering, 2024) is by Martinez-Peon, Garcia-Hernandez, Benavides-Bravo and Parra-Vega.

Participants

10

Channels

14 (10-10)

HED

v8.4.0

Size

54.7 MB

Version

v1.0.0

Updated

Oct 8, 2026

…Competition 2020 Track 4 — Upper-limb grasping motor imagery ## Overview BCIComp2020UpperLimb is…

Participants

14

Channels

60 (10-10)

HED

v8.4.0

Size

2.76 GB

Version

v1.0.3

Updated

Aug 18, 2026

Raw multimodal recordings of 18-channel EEG and functional near-infrared spectroscopy (fNIRS) from seven participants with orthopedic impairment performing motor imagery tasks. Each participant completed three sessions of 40 trials, with four motor imagery tasks (reach, twist, lift, grasp) presented in random order. The dataset supports research on multimodal brain-computer interfaces for people with motor impairments.

Participants

7

Channels

18

Citations

2

Size

635 MB

Version

v1.0.0

Updated

May 25, 2026

…high-density EEG and surface EMG recorded during a standardized upper-limb…

Participants

39

Channels

127 (10-05)

HED

v8.4.0

Size

9.07 GB

Version

v1.0.0

Updated

Oct 8, 2026

…motor imagery, EEG, upper extremity, same limb, time-domain features, SVM, BCI…

Participants

12

Channels

32 (egi-geodesic)

Citations

45

HED

v8.4.0

Size

52.0 GB

Version

v1.0.3

Updated

Aug 20, 2026