Multimodal dataset from the CMx7-MM Experiment
…2.5 s Subjective ratings: - Karolinska Sleepiness Scale (KSS) before each session…
- Participants
- 30
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 4.21 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
100 results for "slow-wave sleep" · page 6 of 10 · ranked by relevance
…2.5 s Subjective ratings: - Karolinska Sleepiness Scale (KSS) before each session…
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.
…and then a Morlet wavelet transformation (wavenumber = 5) is applied to the…
An auditory event-related potential dataset from 13 healthy subjects performing an oddball paradigm with two sinusoidal tones (target 1000 Hz, non-target 500 Hz) presented at variable stimulus onset asynchronies (60-600 ms). The dataset comprises 31-channel EEG recordings at 1000 Hz acquired with BrainProducts BrainAmp DC during an online closed-loop brain-computer interface experiment designed to optimize stimulation parameters using Bayesian optimization and random search strategies.
This dataset comprises resting-state, eyes-closed scalp EEG recordings from 88 subjects: 36 with Alzheimer's disease, 23 with Frontotemporal Dementia, and 29 healthy controls. Recordings were acquired using a Nihon Kohden EEG 2100 device with 19 electrodes at 500 Hz sampling rate, totaling approximately 1164 minutes of data. The dataset includes both raw and preprocessed versions with artifact correction, supporting machine learning and clinical research in dementia diagnosis and neurophysiological characterization.
A large-scale longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with more than 250,000 trials of motor imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
…modulated with a 40Hz rectangular wave (40Hz On and Off cycles). Since…
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.
…For example, the 'blue' stim would slowly move from 20% reinforcing to…