iEEG on children during slow wave sleep
[. Participants viewed sequences of 14 images presented for 200 ms each with 100 ms interstimulus intervals and performed a detection task. The dataset includes time-resolved decoding analyses examining adaptive recruitment of cortical recurrence mechanisms during visual object recognition.
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…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
This dataset comprises simultaneous EEG-fMRI and diffusion-weighted imaging (DWI) recordings from 28 healthy adults performing a sustained attention task (gradCPT) along with resting state, checkerboard, and imagery tasks. The multimodal neuroimaging data were acquired using 64-channel EEG and 3T MRI, providing complementary measures of brain activity and structural connectivity. Both raw and preprocessed data are provided, enabling investigation of attention mechanisms and their neural correlates across multiple imaging modalities.
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…provided a long-term intracranial electroencephalography (iEEG) dataset of 8 epilepsy patients…
BigP3BCI Study D is a P300-based brain-computer interface dataset comprising EEG recordings from 17 healthy subjects performing a 6x6 character grid speller task using dynamic row-column stimulus presentation. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 electrode montage, annotated with target and non-target event labels using HED 8.4.0 schema. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is designed for machine learning model development and benchmarking in brain-computer interface research.