Epilepsy-iEEG-Interictal-Multicenter-Dataset
…interictal iEEG recordings possibly with sleep or awake state annotated. The subjects…
- Participants
- 39
- Citations
- 5
- Size
- 5.14 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "slow-wave sleep" · page 8 of 10 · ranked by relevance
…interictal iEEG recordings possibly with sleep or awake state annotated. The subjects…
…destroy target symbol within 8 attempts; aliens move slowly and regularly according…
Imported from OpenNeuro ds002778
…1.51s (2.2× slower than trackpad) **Model architecture**: MPF features + LSTM…
A large-scale multi-laboratory replication study (N=356 participants across 9 UK institutions) investigating probabilistic prediction in language comprehension using event-related potentials. Participants read sentences word-by-word while EEG was recorded, with critical manipulations of indefinite articles (a/an) preceding expected or unexpected nouns. The study challenges strong prediction accounts by demonstrating reliable N400 effects on target nouns but not on preceding articles, contrary to the original DeLong et al. (2005) findings.
…includes neuronal spike times and waveforms in the NIX standard under the…
This dataset comprises electroencephalography (EEG) recordings from participants performing an auditory oddball task conducted at the Meditation Research Institute in Rishikesh, India. Participants completed three 13-minute sessions during which they were presented with 750 auditory stimuli consisting of standard tones (70%), oddball tones (15%), and distractor noise bursts (15%), with instructions to respond to oddball stimuli via keypad. The study was approved by the Meditation Research Institute ethical committee in India and the University of California San Diego Institutional Review Board (IRB project #090731) and represents a standardized paradigm for investigating event-related potentials and attentional processing.
…P300 latency jitter, brain-computer interface, covert attention, wavelet analysis, single epoch…
This dataset comprises simultaneous EEG, fMRI, and diffusion-weighted imaging (DWI) recordings from 28 healthy adults performing a sustained attention gradual-onset continuous performance task (gradCPT), along with resting-state, checkerboard, and imagery task data. The dataset supports multimodal investigation of sustained attention and its neural correlates using combined electrophysiological, hemodynamic, and structural connectivity measures.
…a specific task, “sleep” when a patient is sleeping the majority of…