Yang et al. 2025 — A multi-day and high-quality EEG dataset for motor imagery brain-computer interface
…A multi-day and high-quality EEG dataset for motor imagery brain…
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- 29
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- 63.4 GB
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- Jun 3, 2026
100 results for "motor cognition" · page 10 of 10 · ranked by relevance
…A multi-day and high-quality EEG dataset for motor imagery brain…
…Motor execution (motorFoot/motorRHand/motorLHand) — 20 trials each Run 04: Transient sensory…
Imported from OpenNeuro ds003801
This dataset contains electroencephalographic (EEG) recordings from 24 participants performing object classification and passive viewing tasks in Experiment 1 of a study investigating how the brain represents object movement and aliveness. Participants classified static images of objects with varying capacities for movement (moving/non-moving) and animacy (alive/not alive) as either alive or capable of movement. The study demonstrates that movement capacity is a significant organizational principle in visual object representation, independent of animacy.
…EEG motor imagery dataset from 50 acute stroke patients performing left- and…
…Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across…
…The study employed a motor imagery paradigm with auditory and visual cueing…
This dataset comprises human electroencephalography (EEG) recordings from 80 participants engaged in a moral decision-making task. Participants evaluated their attitudes toward sociopolitical issues, then viewed protest photographs with varying levels of indicated social support, followed by judgments of support for the protesters. The study investigates how moral conviction and metacognitive ability influence information processing across multiple cognitive stages.
This dataset comprises multimodal neurophysiological and biomechanical recordings from 32 young adults performing walking tasks over uneven terrain at varying speeds. Data include high-density dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, ground reaction forces, and structural MRI-derived head models. Each participant completed two trials per condition lasting three minutes, plus a seated rest baseline, providing a comprehensive resource for investigating neural and muscular control mechanisms during dynamic locomotion.
…This resource supports brain-computer interface research and motor imagery classification studies…