Showing 10 of 566 datasets · page 11 of 57
Chisco-2.0 is an imagined speech electroencephalography (EEG) dataset comprising raw neurophysiological recordings from two participants. The dataset contains EEG data in EDF format and represents a resource for investigating neural correlates of imagined speech production and related brain-computer interface applications.
This dataset comprises 6-hour tethered EEG recordings from wildtype and Syngap1 heterozygous mutant rats (male, 12-16 weeks old) acquired during the light phase of the circadian cycle. Recordings were obtained using a 32-channel head-mounted EEG array with integrated accelerometers at 1 kHz sampling rate. The dataset supports investigation of electrophysiological alterations associated with SYNGAP1-related pathophysiology in a rodent model.
This dataset comprises psychophysiological and psychometric data from 76 Mexican children with reading or mathematics learning difficulties, collected to evaluate skill improvements through the Smartick online learning platform. Participants underwent EEG recordings during resting state and task-specific conditions (reading comprehension or arithmetic operations) at baseline and after a three-month intervention period, with parallel psychometric assessments including spelling, reading speed, comprehension, mathematical knowledge, selective attention, and IQ measures.
MetaRDK is a stereo-electroencephalography (sEEG) dataset from pharmacologically intractable epilepsy patients performing a perceptual decision-making task with metacognitive confidence judgments. Participants discriminated the direction of random dot motion while providing confidence ratings, with neural recordings capturing high-gamma activity (70-150 Hz) throughout the decision and confidence evaluation process. This dataset enables investigation of neural mechanisms underlying evidence accumulation, decision confidence, and changes of mind in human intracranial recordings.
This dataset comprises intracranial EEG recordings from 108 individuals performing an auditory naming task. Electrode coordinates are provided in MNI-305 stereotactic space. The recordings include event markers for stimulus onset (401) and response onset (501), enabling analysis of neural dynamics during language production and naming processes. This study was approved by the IRB of Wayne State University.
This dataset comprises scalp electroencephalography (EEG) recordings from healthy young adults exposed to audiovisual flicker stimulation at 40 Hz, control (no flicker), or randomized flicker conditions during a one-hour psychomotor vigilance task. The study investigates the effects of multisensory flicker on neural activity and cognitive performance, providing raw EEG data suitable for analysis of frequency-domain responses and task-related brain dynamics.
This dataset comprises electroencephalography (EEG) recordings from participants performing three near-threshold visual detection tasks with varying cue validity conditions: a no-cue baseline task, a noninformative cue task (50% validity), and an informative cue task (100% validity). The study investigates the neural mechanisms underlying visual perception at detection threshold, with particular focus on prestimulus alpha-band activity and its relationship to perceptual performance.
This dataset comprises raw electroencephalography (EEG) recordings from 27 participants during a movie memory recognition task. Participants viewed 10-second film clips previously watched and indicated recognition and memory status, with recognized clips replayed to capture temporal annotations of memory cues. The study investigates neural correlates of video memorability using high-density EEG acquisition.
This dataset comprises processed intracranial EEG recordings from frontal and temporal cortical regions in 13 epilepsy patients performing a load-3 object working memory task. The recordings include 6498 ms trials spanning fixation, encoding, and delay periods, with artifact-rejected data organized by channel and subject. The dataset supports investigation of neural mechanisms underlying working memory maintenance and cognitive control in human intracranial recordings.
This intracranial electroencephalography (iEEG) dataset contains neural recordings from patients with epilepsy, designed to investigate spatial volatility of neural activity patterns. The dataset includes raw iEEG signals acquired from implanted electrodes and is intended to support research on neural dynamics and epileptogenic zone localization.