…the integration of multiple sensory modalities, and participants provided self-reported vividness…
…precise temporal alignment across all modalities. EEG event markers are defined for…
…visual - **Stimulus modalities**: visual - **Primary modality**: visual - **Synchronicity**: synchronous - **Mode**: offline - **Training…
A multimodal neuroimaging dataset (EEG, anatomical MRI and functional MRI) for studying the spatiotemporal dynamics of visual processing in the human brain, as described by the dataset title. This is a NEMAR-hosted copy of OpenNeuro dataset ds002814. The associated article was under review at the time of the record. The source README is an unfilled placeholder, so further study details are not available in the dataset documentation. Contact the corresponding authors (Seyed-Mahdi Khaligh-Razavi, Fatemeh Ebrahiminia) for more information.
…flickering box - **Stimulus modalities**: visual - **Primary modality**: visual - **Synchronicity**: synchronous - **Mode**: offline…
This dataset contains simultaneously recorded EEG and fMRI data from 22 adults aged 23 to 51 years, collected at the Nathan Kline Institute while participants watched naturalistic video stimuli. It also includes eye tracking, physiological (respiration) recordings, demographic information, and behavioral measures such as sleep and caffeine intake. The goal is to investigate the relationship between electrical brain activity and hemodynamic fluctuations.
…EEG data from participants who performed an attentional blink (AB) task before…
…Paving the way for cross-site pooling of magnetoencephalography (MEG) data. International…
…Covariance/Riemannian ## Cross-Validation - **Evaluation type**: cross_session ## BCI Application - **Applications**: gaming…
This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.