100 results for "motor responses" · page 7 of 10 · ranked by relevance
…brain-computer interface, motor imagery, EEG, distraction, open access, BCI Abstract -------- We…
This dataset contains EEG recordings from 14 healthy participants performing a covert attention task with real-time neurofeedback based on alpha power lateralization. The study investigates whether real-time EEG feedback on alpha power lateralization can lead to behavioral improvements in a covert attention task, employing a single-blinded crossover design comparing real versus sham feedback conditions across three recording sessions.
This dataset comprises resting-state electroencephalography (EEG) recordings from 111 healthy control subjects acquired using a BioSemi ActiveTwo system with 64 electrodes. Subjects were recorded during four minutes of continuous EEG with eyes closed, with some subjects undergoing repeat recordings at a later timepoint. The dataset includes both raw EEG data rereferenced to average reference and a derived cleaned dataset preprocessed with an automated pipeline, along with demographic and cognitive test data.
…Cue-based motor imagery paradigm (Step B of Brain Switch campaign) for…
The Brain, Body, and Behaviour Dataset (Experiment 1) is a multimodal neuroimaging dataset comprising eye-tracking recordings from 27 subjects across two sessions during educational video viewing. Subjects watched five informative videos under two conditions: an attentive condition with post-video comprehension testing, and a distracted condition with concurrent cognitive load (backward counting). The dataset includes gaze coordinates, pupil size, blinks, saccades, and fixations, along with behavioral questionnaires assessing domain knowledge and memory retention, providing a resource for studying attention, learning, and cognitive engagement during multimedia presentation.
[, 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.
…2020 Motor imagery dataset from Ma et al. 2020. ## Dataset Overview - **Code…
The Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.