Showing 10 of 660 datasets · page 10 of 66
This dataset investigates how expectation modulates repetition suppression in nociceptive processing. It contains raw neuroimaging data examining the neural mechanisms underlying pain perception and the influence of cognitive expectations on pain-related neural responses.
This dataset contains EEG recordings from Experiment 2 of a study investigating whether memory reactivation levels are affected by anticipated interference during a dual-task paradigm. Participants performed a visual working memory task with varying cognitive load (single vs. dual task conditions), where they memorized lateral objects and later identified them among probes, with half the blocks including distractor identification tasks. The dataset includes raw EEG data collected during this experiment. For preprocessing details, see the related preprint and OSF repository listed in related_identifiers.
The Mouse Sleep Staging Validation dataset (MSSV) comprises EEG and EMG recordings from 92 healthy mice collected across five international laboratories. The dataset includes expert-scored sleep stages and is designed to support validation of automated sleep staging algorithms in rodent models. All recordings have been standardized to 128 Hz sampling rate with 4-second epochs and formatted according to BIDS specifications.
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.