…Understanding Brain-Computer Interfaces training: a longitudinal and multimodal dataset. Scientific Data…
Raw 64-channel EEG, electrocardiography, photoplethysmography, pupillometry and behavioral data from 86 participants during 4 minutes of eyes-closed rest and a digit span serial recall task. Participants memorized or passively listened to auditory digit sequences of 5, 9, or 13 items. The dataset supports work on cognitive load discrimination, event-related and oscillatory dynamics during encoding and maintenance, and links between working memory, central and peripheral physiology.
…research, mental workload assessment, and brain-computer interface development. ## Overview of the…
…speller, visual stimulation ## Abstract Brain-Computer Interfaces (BCIs) allow users to control…
EEG dataset investigating whether episodic future thinking can reduce temporal discounting. Participants described a series of personal future events and were then cued to think about these events while making intertemporal choices. They also rated the vividness of their mental imagery for each event.
…Brain-computer interfaces (BCIs) have been gaining momentum in making human-computer…
This dataset contains simultaneously recorded scalp EEG and intracranial EEG (depth electrodes) from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Encoding, maintenance, and recall are temporally separated. It includes electrode MNI coordinates with anatomical labels, trial-level behavioral information, and LCMV beamforming-reconstructed virtual sensor data for several cortical regions. The data support studies of working memory, connectivity, and replay of memory items.
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
A multi-modal neuroimaging dataset (XP1) with simultaneous 64-channel EEG and fMRI recorded while 10 participants performed right-hand kinaesthetic motor imagery with neurofeedback. Each participant completed motor localizer, pre- and post-training motor imagery runs, and three neurofeedback runs (EEG-only, fMRI-only, and bimodal EEG-fMRI). The release includes raw and preprocessed EEG, BOLD fMRI, anatomical data, and EEG and BOLD neurofeedback scores to support multi-modal data integration.
…evoked potentials (SSVEPs) in brain-computer interfaces (BCIs). The standard CCA method…