Discover datasets

This dataset comprises EEG recordings from 52 participants (39 females) investigating the effects of sham hypnosis techniques using a 2×2 balanced placebo design. Participants underwent four experimental conditions involving conventional and unconventional hypnotic inductions presented as either hypnosis or relaxation control, with brain activity recorded using 64-channel EEG during baseline and experimental blocks. The study examines how expectancy and framing influence the neurophysiological response to hypnotic inductions.

Participants

52

Channels

58 (10-10)

Size

43.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains whole-brain EEG recordings from participants experiencing tactile stimulation and viewing videos of touch to investigate overlapping neural representations between firsthand and vicarious touch. Using time-resolved multivariate pattern analysis, the study examines whether observed touch evokes similar neural patterns as direct tactile experience. The dataset includes 64-channel EEG data collected at 2048 Hz from 12 experimental runs comprising 1728 trials across tactile and visual conditions.

Participants

40

Channels

64

Size

172 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains electrophysiological recordings investigating the illusion of agency over electrically-actuated movements. Participants experienced electrical stimulation of their limbs while performing motor tasks, with concurrent EEG recordings to examine neural correlates of sense of agency and motor control. The study explores how the brain attributes voluntary control to externally-generated movements.

Participants

23

Channels

62 (10-10)

Size

98.0 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises preprocessed EEG recordings from 16 native French-speaking participants performing a forced picture naming task. Participants viewed images from the Snodgrass & Vanderwart corpus and were required to name them while EEG activity was recorded across baseline, visual stimulation, and naming phases. The dataset contains 270 trials per subject and was used to characterize spatiotemporal dynamics in EEG data using optical flow pattern analysis. Note: 16 participants represent the final cohort after 4 exclusions from an initial 20 subjects due to hardware failure.

Participants

16

Channels

99 (10-05)

Citations

2

Size

8.78 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises intracranial electroencephalography (iEEG) recordings from 114 pediatric subjects during slow wave sleep. The collection includes raw iEEG data with electrode coordinates registered to the MNI305 stereotactic space, supporting investigations of neural activity patterns and high-frequency oscillations during sleep in children.

Participants

114

Size

68.9 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A multimodal neuroimaging dataset combining simultaneous EEG and functional near-infrared spectroscopy (fNIRS) recordings from patients undergoing general anesthesia. This dataset provides synchronized brain activity measurements across two complementary modalities, enabling investigation of neural dynamics during anesthetic states. The data supports research into consciousness, anesthetic mechanisms, and multimodal brain imaging integration.

Participants

8

Channels

58 (10-10)

Size

2.69 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from two studies using a Probabilistic Selection Task (PST): Study 1 includes 85 participants (80 healthy controls plus 5 pilot placebo sessions), and Study 2 includes 27 healthy participants (after 3 dropouts from initial 30) in a double-blind design receiving either Cabergoline 1.25 mg or placebo. The dataset was collected circa 2012-2013 at Brown University's Laboratory for Neural Computation & Cognition and provides neurophysiological measures of decision-making and reward processing during probabilistic learning. NOTE: This dataset is unpublished; however, the same sample was used in the published study (10.1038/ncomms6394). Known issues: Subject 173 may have poor EEG data quality. Event file feedback labels ('FB: 0' and 'FB: +1') do not match actual task feedback ('Correct!' or 'Incorrect!'); see stimuli folder for accurate feedback labels. Original task description contained mislabeling as 'Simon Conflict' task; this is a Probabilistic Selection Task (PST).

Participants

110

Channels

64 (10-10)

Size

22.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains preprocessed neuroimaging data from Experiment 1 investigating how changes in behavioral priority affect the accessibility of working memory content. The study examines the neural mechanisms underlying selective attention and working memory maintenance, with data suitable for analysis of cognitive control processes.

Participants

34

Channels

62 (10-10)

Size

10.7 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains preprocessed neuroimaging data from Experiment 2 investigating how changes in behavioral priority affect the accessibility of working memory content. The study examines the neural mechanisms underlying selective attention and working memory maintenance, with data collected and organized according to BIDS standards for reproducible neuroscience research.

Participants

33

Channels

62 (10-10)

Size

10.4 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset contains preprocessed EEG data from a study investigating how internal selective attention is modulated by competition between endogenous and exogenous attentional factors. The study examines the temporal dynamics of attention allocation during tasks involving competing internal goals and external stimuli. Preprocessed data are provided in BIDS format alongside behavioral summary files for integrated analysis.

Participants

40

Channels

62 (10-10)

Size

12.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026