…EEG, pupillometry, ECG and photoplethysmography, and behavioral data are stored separately in…
…The dataset includes simultaneous electroencephalography (EEG), eye-tracking, photoplethysmography (PPG), and galvanic…
…64-channel EEG, electrocardiography (ECG), photoplethysmography (PPG), and behavioral data recorded from…
This dataset provides eyes-open scalp EEG recordings acquired during intermittent photic stimulation (5 to 30 Hz in 5 Hz steps) from 36 participants with Alzheimer's disease, 23 with frontotemporal dementia, and 29 healthy controls. It complements an earlier eyes-closed resting-state dataset of the same cohort, and participant numbers match between the two. Raw and preprocessed (filtered, ASR- and ICA-cleaned) recordings are provided in BIDS format alongside clinical MMSE scores and demographics.
A raw multimodal dataset from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. It includes EEG, fNIRS, ECG, EMG, Biodex torque/kinematics, push-button responses, and subjective ratings of sleepiness and cognitive load. The data are organized in BIDS and are unprocessed exports from the acquisition systems.
This dataset contains synchronized EEG, ECG and pupil recordings from 36 young and 39 older adults performing auditory cued reaction time tasks, plus a passive listening condition. The active tasks were a cued simple reaction time task and a cued go/no-go task, and they allow investigation of age-related differences in cortical, autonomic and pupillary responses during anticipation and perceptual decision-making.
Open-loop EEG dataset of kinesthetic motor imagery of ankle dorsiflexion/plantarflexion alternated with relaxation, recorded from six healthy participants. Each participant completed two sessions, one with a static and one with a moving lower-limb exoskeleton. The recordings contain 28 EEG channels and 4 EOG channels sampled at 250 Hz. This is a BIDS re-release of the Zenodo deposit, produced via MOABB.
This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.
EEG recordings from 30 healthy participants performing a left-hand grasping motor imagery task versus rest, cued by auditory stimuli, with simultaneous pupillometry. The dataset was recorded with a 32-channel BioSemi ActiveTwo system at 512 Hz across two runs of 25 trials per subject. It supports evaluating whether task-evoked pupil diameter changes can improve EEG-based motor imagery brain-computer interface classification.
EEG and ECG recordings collected during guided imagery hypnotherapy (LIGHT) sessions, in which a hypnotherapist uses storytelling and deep visualization to promote personal growth and well-being. The approach targets eudaemonic well-being, emphasizing meaning and self-realization, which distinguishes it from traditional hypnotherapy. The dataset includes a baseline resting EEG session and in-lab recordings from selected hypnotherapy sessions.