Discover datasets

This derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.

Participants

28

Size

302 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.

Participants

25

Channels

35 (10-10)

Citations

2

Size

97.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from a modified Sternberg working memory task designed to dissociate neural mechanisms of verbal information retention from those supporting active manipulation. Participants performed two task types—simple retention and alphabetization—across three memory loads (5, 6, or 7 letters), enabling investigation of temporally distinct oscillatory signatures underlying different working memory processes. Please cite: Pavlov, Y. G., & Kotchoubey, B. (2021). Temporally distinct oscillatory codes of retention and manipulation of verbal working memory. Scientific Reports, 11, 11230. https://doi.org/10.1038/s41598-020-72940-5

Participants

156

Channels

19 (10-20)

Citations

24

Size

20.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electrophysiological recordings from 57 human subjects performing three different behavioral tasks designed to identify cross-species electrophysiological biomarkers of behavioral dimensions. The study integrates human EEG data with complementary mouse neurophysiology to establish translational biomarkers of behavior, with data collection occurring between 2014-2016 and analysis between 2015-2021.

Participants

57

Channels

64 (10-10)

Citations

34

Size

16.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

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