…Resting State - **Type**: Resting-state ## Documentation - **DOI**: 10.5281/zenodo.2348891 - **Associated…
…In total, each participant performed 384 illusion trials (6*64). ## Resting State…
…Resting EEG was recorded for 8 minutes in all participants with eyes…
This dataset contains intracranial EEG (stereo-EEG) recordings acquired during 41 high-frequency electrical cortical stimulations that evoked negative motor responses. Data come from 23 patients undergoing presurgical evaluation for drug-resistant epilepsy. Each recording spans about 24 seconds around a stimulation and includes pre- and post-stimulation 5-second epochs, which were used for connectivity analysis. Stimulation contact pairs, current intensities and evoked effects are annotated in the events files.
…per-subject connectivity matrices (CSV) computed from resting-state SEEG and MEG…
…10.82901/nemar.on000247) # OMEGA - Resting State Sample Dataset ## License - This dataset…
TMNRED is an EEG dataset recorded from 30 native Chinese speakers during natural reading of news headlines and short sentences. Participants identified fuzzy semantic targets among target and non-target items. The dataset supports research on semantic processing of Chinese in naturalistic reading and includes raw and preprocessed data in BIDS format.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007420-blue…
This dataset contains 128-channel EEG recordings from healthy, neurotypical adults listening to naturalistic continuous speech, specifically segments of an audiobook version of "The Old Man and the Sea". It combines data from two earlier studies on cortical entrainment to speech and on semantic processing. It includes the audio stimuli and forced-aligned word and phoneme timing files, supporting research on speech and language processing.
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.