Discover datasets

This dataset comprises 128-channel EEG recordings from 19 patients with psychosis and 24 healthy controls performing the Ultimatum Game at Fribourg University. Participants engaged in both proposer and responder roles across three blocks of 30 trials each, providing neurophysiological insights into decision-making and social cognition in schizophrenia spectrum disorders.

Participants

43

Channels

128

Size

22.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from participants performing alternating meditation and active thinking tasks. Data were collected at the Meditation Research Institute in Rishikesh, India, with participants completing four blocks of either breath-counting meditation, tradition-specific meditation, or active thinking tasks with eyes closed. The dataset supports investigation of neural correlates of meditative states versus cognitively engaged thinking.

Participants

98

Channels

64 (10-10)

Citations

90

Size

54.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state EEG recordings from two independently collected samples of healthy controls and first-episode psychosis (FEP) individuals. EEG data were acquired using a 60-channel low-impedance 10-10 system cap during 5-minute resting periods. The second sample excludes subjects overlapping with the first acquisition to avoid redundancy. Clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures are provided in the phenotype directory.

Participants

61

Channels

61 (10-10)

Citations

8

Size

12.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state EEG recordings from individuals with first-episode psychosis (FEP) and healthy controls, collected using a 60-channel 10-10 system montage. This is the first of two independently collected samples, containing 5-minute resting EEG recordings acquired with an Elekta Neuromag Vectorview system, accompanied by comprehensive clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures. This resource enables investigation of cortical network abnormalities and neurophysiological markers associated with early psychotic illness.

Participants

82

Channels

61 (10-10)

Citations

37

Size

6.15 GB

Version

v1.0.0

Updated

Jul 10, 2026

A magnetoencephalography dataset from 13 participants performing audiovisual multisensory tasks, including causality judgment, temporal order judgment, and unimodal localizer conditions. The dataset comprises 1500 trials of audiovisual sequences with simultaneous behavioral recordings and structural MRI, designed to investigate neural mechanisms of multisensory correlation computations using time-resolved encoding models.

Participants

14

Size

75.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalographic (EEG) recordings from 24 participants performing object classification and passive viewing tasks while viewing static images of objects with varying capacities for movement and aliveness. The study investigates how the human brain represents movement as a fundamental organizational principle in visual object processing, independent of animacy. This is Experiment 3 (EEG: movement) from a multi-experiment study. Raw EEG data in BrainVision format, preprocessed derivatives in EEGlab and cosmoMVPA formats, analysis scripts, stimuli, and decoding results are provided. Note: Analysis code requires both Experiment 2 and Experiment 3 datasets to be downloaded for full replication of analyses.

Participants

24

Citations

2

Size

80.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains electroencephalographic (EEG) recordings from 24 participants performing object classification and passive viewing tasks in Experiment 1 of a study investigating how the brain represents object movement and aliveness. Participants classified static images of objects with varying capacities for movement (moving/non-moving) and animacy (alive/not alive) as either alive or capable of movement. The study demonstrates that movement capacity is a significant organizational principle in visual object representation, independent of animacy.

Participants

24

Size

82.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

A multicenter interictal intracranial electroencephalography (iEEG) dataset from patients with epilepsy, comprising de-identified recordings from six clinical centers: the National Institutes of Health, Johns Hopkins Hospital, University of Miami Florida Jackson Memorial Hospital, Kansas University Medical Center, University of Pittsburgh Medical Center, and Cleveland Clinic (with data from the latter three centers restricted due to institutional data sharing limitations). The dataset includes annotations of sleep and awake states and features processed derivatives including source-sink connectivity analysis and high-frequency oscillation detection. This resource supports investigation of electrophysiological markers of the epileptogenic zone.

Participants

39

Citations

3

Size

5.13 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial EEG (iEEG) recordings from 12 epilepsy surgery patients enrolled in the RESPect (Registry for Epilepsy Surgery Patients) study at the University Medical Center of Utrecht. The collection includes intraoperative electrocorticography (ECoG) recordings from six patients and long-term iEEG monitoring data from six patients (three with ECoG and three with stereo-encephalography). All data are organized according to the Brain Imaging Data Structure (BIDS) specification to facilitate standardized access and analysis of clinical neurophysiology data. This dataset is derived from the larger RESPect iEEG collection and has been curated for BIDS compliance.

Participants

6

Size

99.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 19 participants performing a cyber-physical systems task involving prediction error processing with multimodal sensory stimulation. Participants received visual, vibrotactile, and electrical muscle stimulation (EMS) across three experimental blocks while their brain activity was recorded using a 63-channel high-density EEG system. The study investigates neural responses to prediction errors in a haptic interaction task with varying levels of sensory realism.

Participants

19

Channels

63 (10-10)

Size

11.3 GB

Version

v1.0.0

Updated

Jul 10, 2026