Discover datasets

ForrestGump-MEG is a multimodal neuroimaging dataset comprising magnetoencephalography (MEG) recordings from 11 subjects during passive viewing of a 2-hour audio-visual movie stimulus (Chinese-dubbed Forrest Gump), along with structural MRI data. The dataset includes raw 275-channel CTF MEG data, preprocessed MEG recordings with independent component analysis decomposition, anatomically preprocessed T1-weighted images, and MEG-MRI co-registration information. This resource enables investigation of neural dynamics during naturalistic audiovisual perception and brain-behavior relationships in ecologically valid contexts.

Participants

12

Citations

2

Size

155 GB

Version

v1.0.0

Updated

Jul 10, 2026

A multiclass electroencephalography dataset of inner speech commands acquired from ten subjects using a 136-channel system. The dataset includes three experimental paradigms: inner speech, pronounced speech, and visualized conditions, with four directional commands (up, down, right, left) totaling 5,640 trials. This resource addresses the scarcity of publicly available EEG datasets for inner speech recognition and supports the development of brain-computer interface technologies and investigation of neural mechanisms underlying inner speech. Ethics approval: Comité Asesor de Ética y Seguridad en el Trabajo Experimental (CEySTE), CCT-CONICET, Santa Fe.

Participants

10

Citations

73

Size

24.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises mobile EEG recordings from 44 healthy adults performing an auditory oddball task across three environmental conditions: laboratory, outdoor field, and campus navigation. Participants attended to or ignored complex tone stimuli (piano and horn) while 32-channel EEG was recorded using a Brain Vision LiveAmp amplifier. The study investigates how cognitive task demands, motor demands, and environmental complexity modulate attentional processing and event-related potentials during naturalistic behavior.

Participants

44

Channels

35 (10-10)

Citations

32

Size

89.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset investigates the neurobehavioral mechanisms linking childhood sexual abuse and problem drinking in women using EEG neuroimaging data collected from monozygotic twin pairs. The study employs a behavioral task with visual stimuli to examine neural correlates associated with these clinical phenotypes. Data were collected at Washington University School of Medicine under IRB approval and include detailed task descriptions, stimulus materials, and genetic relationship information for twin participants.

Participants

118

Channels

35 (10-10)

Size

73.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises neuroimaging and electrophysiological recordings from 18 participants who engaged in reward-based cognitive tasks during wakefulness followed by sleep monitoring in an MRI scanner. Participants played two games (FACE and MAZE) during 3T fMRI acquisition, with one game designated as rewarded and the other as non-rewarded. Subsequent sleep sessions were recorded with simultaneous 64-channel EEG and fMRI for 1-2 hours, during which participants reached either N2 or N3 sleep stages, followed by a memory test. The dataset enables investigation of how reward biases spontaneous neural reactivation during sleep through multimodal neuroimaging analysis.

Participants

18

Channels

64 (10-10)

Citations

2

Size

18.0 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from musicians listening to chord progressions designed to investigate how improvisation experience influences the neural processing of musical structures. Participants were presented with four types of harmonic progressions (ii-IV-I, ii-V-I, ii-IV6-I, ii-V6-I) in an oddball paradigm where standard trials were occasionally replaced with deviant trials differing in chord inversion (exemplar deviants) or harmonic function (function deviants). The study examines spatiospectral brain networks reflective of improvisational expertise.

Participants

40

Channels

64 (10-10)

Citations

41

Size

36.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains magnetoencephalography (MEG) and structural magnetic resonance imaging (MRI) data from adolescent participants with major depressive disorder and healthy controls during a monetary gambling mood induction task and resting state. The study investigates electrophysiological correlates of mood and reward dynamics in human adolescents through pre-registered analyses of task-based and resting-state neuroimaging data.

Participants

51

Citations

3

Size

123 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 30 pediatric patients with focal or generalized epilepsy, with automated high-frequency oscillation (HFO) markings. The study investigates ripple rates (80-250 Hz) in scalp EEG as non-invasive biomarkers of epileptogenicity across the pediatric age range. The dataset includes 3 hours of sleep EEG data per subject with processed N3 sleep intervals and bipolar channel referencing, along with clinically validated HFO detections.

Participants

30

Channels

23 (10-20)

Citations

6

Size

28.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from individuals with acute mild traumatic brain injury (mTBI) and matched controls performing a visual working memory task with embedded mind wandering probes. Data were collected at three timepoints spanning approximately four months post-injury, with the initial session occurring 3-14 days after injury. The dataset includes fully preprocessed and cleaned EEG data, behavioral measures, and analysis scripts, providing a longitudinal resource for investigating cognitive dysfunction and neural recovery following mild TBI. Note: This dataset has not been published in peer-reviewed literature.

Participants

91

Channels

65 (10-10)

Size

37.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises three-stimulus auditory oddball task and resting-state EEG recordings collected from control subjects, individuals with sub-acute mild traumatic brain injury (mTBI), and chronic TBI patients. Longitudinal data were acquired at multiple timepoints (3-14 days, ~2 months, and ~4 months post-injury for acute/sub-acute groups), with resting-state recordings also included. The dataset supports investigation of event-related potentials and neural oscillations associated with auditory attention and cognitive processing across the TBI recovery trajectory.

Participants

96

Channels

65 (10-10)

Citations

24

Size

25.4 GB

Version

v1.0.0

Updated

Jul 10, 2026