7-day motor imagery BCI EEG dataset from Zhou et al 2021
…Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across…
- Citations
- 14
- Size
- 16.0 GB
- Updated
- Jun 18, 2026
100 results for "motor cognition" · page 9 of 10 · ranked by relevance
…Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across…
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.
…The study employed a motor imagery paradigm with auditory and visual cueing…
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 dataset comprises multi-session, multi-task EEG recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. The dataset is in raw, unpreprocessed state and has been formatted according to BIDS standards for accessibility and reproducibility.
…This resource supports brain-computer interface research and motor imagery classification studies…
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
…and acoustic featuresԬ Brain and Cognition, 101:1-11, 2015b; doi: 10…
This dataset comprises intracranial electrophysiological recordings and behavioral data from a spatial navigation memory task conducted across multiple clinical sites. Participants encoded object locations during guided navigation learning phases and subsequently recalled these locations during self-navigation test phases. The dataset includes 50 trials per session with detailed behavioral events and iEEG recordings, providing a resource for investigating neural mechanisms of spatial memory and navigation.
…The study employed a motor imagery paradigm with auditory and visual cues…