EEG and motion capture data set for a full-body/joystick rotation task
…were situated in a 3D virtual reality environment using a head mounted…
- Participants
- 20
- Channels
- 160 (other)
- Citations
- 39
- Size
- 61.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
33 results for "Virtual Reality" · page 2 of 4 · ranked by relevance
…were situated in a 3D virtual reality environment using a head mounted…
This high-density functional near-infrared spectroscopy (fNIRS) dataset comprises neuroimaging recordings from the motor cortex during three experimental paradigms: resting state, ball-squeezing motor tasks (both hands performed sequentially), and purposeful motion artifact creation. The dataset includes concurrent accelerometer measurements and is designed to support the development and validation of motion artifact correction algorithms in fNIRS neuroimaging.
…event-related lane-departure paradigm A virtual-reality (VR) dynamic driving simulator…
This dataset comprises high-density diffuse optical tomography (HD-DOT) neuroimaging data from 5 participants performing functional localizer and naturalistic movie viewing tasks. Data are provided in SNIRF format with optode positions and anatomical landmarks registered to subject-specific head models, enabling investigation of brain function during audiovisual stimulation using optical neuroimaging methods.
[ during visual illusion perception tasks and resting-state recordings. Participants performed perceptual judgments on three classic visual illusions (Ebbinghaus, Müller-Lyer, and Vertical-Horizontal) with manipulated difficulty and illusion strength, followed by an 8-minute eyes-closed resting-state period. The multimodal dataset includes 64-channel EEG, electrocardiogram, photoplethysmography, and respiration signals, enabling investigation of neural correlates of visual illusion sensitivity and resting-state brain activity.
…The dataset includes also reconstructed virtual sensor data that were created by…
VEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks (face vs. scrambled faces, coherent vs. incoherent motion). The dataset includes preprocessed EEG single trials, individual brain parcellations at five spatial resolutions, structural connectomes derived from diffusion data, and EEG source imaging solutions based on individual anatomy. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.
…Electroencephalography (EEG), Virtual Reality (VR), Passive Head-Mounted Display (PHMD), experiment Abstract…
This dataset comprises intracranial EEG (iEEG) recordings from ten pediatric epilepsy patients undergoing intracranial monitoring for seizure localization, recorded while they performed a visuomotor task. Subjects completed five sessions of Speed Match, a finger-tapping visuomotor game on the Lumosity platform, during interictal periods. The dataset provides continuous iEEG signals along with trial timing information for finger tapping events, supporting research into visuomotor processing and cortical dynamics in epilepsy patients.