Executive Functionning Study for Assessing the Effect of Neurofeedback
- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 50
- Size
- 26.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
79 results for "Music-Assisted Relaxation" · page 7 of 8 · ranked by relevance
This dataset contains 64-channel EEG recordings and behavioural ratings from 4 participants who read and evaluated English-language poetic and non-poetic texts (Haiku, Senryu, and Control). It is a supplementary companion to Poetry Assessment EEG Dataset 1, including participants whose EEG data were acquired in segmented sessions and later concatenated, excluded from primary PSD analyses but retained for completeness. The study investigates neural and psychological correlates of aesthetic appreciation, emotional response, and creativity judgments in response to poetic language.
This dataset comprises neurophysiological recordings from 39 participants who received calibrated laser stimuli while rating pain intensity and unpleasantness. Participants were presented with laser stimulations at individually-determined energy levels and provided subjective pain ratings on a 0-10 numeric rating scale. The study investigates the neural mechanisms underlying pain perception and assessment, with potential applications to understanding movement-induced hypoalgesia and related pain modulation phenomena. This is a derivative dataset based on OpenNeuro ds005289.
This dataset comprises continuous EEG recordings from 48 infants (5-10 months old) during passive viewing of relaxing videos, collected to establish reliability metrics for microstate analysis in infant populations. The study demonstrates microstate analysis methodology applied to infant EEG data and provides a tutorial resource for researchers interested in this analytical approach. Data were acquired using a 128-channel geodesic sensor net at 1000 Hz sampling rate.
This dataset comprises EEG recordings from a single healthy participant exposed to multisensory stimulation at gamma frequencies (40Hz). The experiment investigates brain entrainment responses to three stimulus modalities: auditory (5kHz carrier amplitude-modulated at 40Hz), visual (20Hz flickering white LED array), and combined audio-visual stimulation. Each stimulus epoch lasted 40 seconds and was recorded using 19 monopolar EEG channels at 500Hz sampling rate. The study aims to characterize synchronized brain oscillations induced by different sensory modalities, with potential implications for understanding gamma entrainment mechanisms relevant to neurodegenerative diseases such as Alzheimer's disease.
This dataset comprises resting-state and auditory oddball task electroencephalography (EEG) recordings from older adults under two experimental conditions: control and threat-of-shock arousal. Participants completed eyes-open and eyes-closed resting periods, as well as passive and active auditory oddball tasks with standard, target, and distractor tones. The data were collected as part of the HeartBEAM study investigating locus coeruleus-noradrenaline system function and its relationship to attention and memory in aging.
This dataset comprises synchronized electroencephalogram (EEG), electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.
The RECAP-EEG dataset provides resting-state electroencephalography recordings from 21 neurotypical undergraduate students collected before and after different study interventions (active retrieval practice, passive review, and control conditions) at the Federal University of Paraíba, Brazil. The dataset aims to support research into the neural correlates of learning, retrieval practice, and educational neuroscience. Recordings include pre- and post-intervention resting-state EEG with eyes-open and eyes-closed blocks.
This open multimodal dataset combines intracranial electroencephalography (iEEG) and functional magnetic resonance imaging (fMRI) recordings from patients during naturalistic audiovisual film stimulation. The dataset includes simultaneous electrocorticography and fMRI data collected during a short film presentation, providing a unique resource for investigating neural responses to complex naturalistic stimuli across multiple recording modalities and spatial scales.