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This dataset comprises EEG recordings from two related studies (2019 and 2021) investigating speech decoding through phoneme discrimination tasks combined with transcranial magnetic stimulation (TMS). Study 1 involved 8 participants performing discrimination of consonant-vowel and vowel-consonant phoneme pairs with TMS targeting motor cortex regions (lip and tongue motor areas). Study 2 expanded to 16 participants and included single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords) with additional TMS targets in Broca's area and verbal memory regions. The dataset provides a comprehensive resource for investigating the neural mechanisms underlying speech perception and articulation.

Participants

24

Channels

61 (10-10)

Size

83.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises high-density dual-layer electroencephalography (EEG), neck electromyography (EMG), inertial measurement unit (IMU) acceleration, and ground reaction force recordings from older adults walking over uneven terrain at varying speeds. Participants completed two trials per condition lasting three minutes each, along with a three-minute seated rest baseline. The dataset includes digitized electrode locations for each participant and represents a comprehensive multimodal neurophysiological and biomechanical assessment of locomotor control in aging.

Participants

71

Channels

120 (other)

Size

127 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This intracranial EEG (iEEG) dataset comprises recordings from 7 participants undergoing closed-loop theta-synchronized stimulation of hippocampal networks. The dataset includes pre- and post-stimulation evoked potentials, resting-state recordings, closed-loop stimulation sessions, and control stimulation periods, organized according to BIDS iEEG specification. Electrode coordinates are registered to MNI152 2009c space, enabling investigation of hippocampal network connectivity modulation through real-time theta oscillation control.

Participants

7

Size

9.63 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG-fMRI and diffusion-weighted imaging data collected from 28 healthy adults (16 female; age range 19-42 years, mean age 27.34±6.58 years; 23 right-handed) performing a sustained attention task (gradCPT) along with resting state, checkerboard, and imagery tasks. The multimodal neuroimaging acquisition combines 64-channel EEG recordings with 3T MRI data to investigate neural correlates of sustained attention. Both raw and preprocessed data are provided, enabling comprehensive analysis of brain activity across multiple imaging modalities.

Participants

28

Channels

63

Size

672 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises open-eyes EEG recordings from 88 participants (36 with Alzheimer's disease, 23 with frontotemporal dementia, and 29 healthy controls) during photic stimulation at incremental frequencies (5-30 Hz). Recorded using a 19-channel scalp electrode montage according to the 10-20 system at 500 Hz sampling rate, the dataset complements a previously published eyes-closed resting-state EEG collection from the same cohort. Both raw and preprocessed versions are provided, with preprocessing including bandpass filtering, artifact subspace reconstruction, and independent component analysis.

Participants

88

Channels

19 (10-20)

Size

2.11 GB

Version

vv1.0.0

Updated

Jul 10, 2026

A multi-modal neuroimaging dataset combining structural MRI, magnetoencephalography (MEG), and electroencephalography (EEG) recordings from multiple subjects during median nerve electrical stimulation and motor response tasks. Participants performed rapid left index finger lifts in response to right median nerve stimuli, providing a comprehensive resource for investigating somatosensory processing and motor control mechanisms.

Participants

5

Size

3.07 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG-fMRI recordings from 3 subjects across 2 sessions during inner speech tasks. Data were acquired using a 3T MRI scanner and 64-channel BrainProducts EEG system with EEG sampling at 5000 Hz and fMRI TR of 2s. The dataset includes preprocessed EEG with pulse artifact removal and is organized in BIDS format to facilitate multimodal neuroimaging analysis of inner speech mechanisms. This is a BIDS-converted version derived from OpenNeuro dataset ds006033.

Participants

3

Channels

64

Size

14.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalogram (EEG) recordings from 127 young adults (18-30 years) collected using standardized event-related potential tasks from the ERP CORE protocol. The dataset integrates neurophysiological measures with comprehensive socioeconomic indicators spanning childhood and adulthood, including family SES, educational attainment, income, food security, and neighborhood characteristics. Additionally, ADHD symptom screening data are included to enable investigation of neurocognitive correlates across socioeconomically diverse populations.

Participants

127

Channels

27

Size

10.6 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This magnetoencephalography (MEG) dataset comprises recordings from 20 adult participants viewing simple geometric shapes (hexagons, triangles, quadrilaterals) and other visual stimuli. The study investigates the neural mechanisms underlying human perception of regular geometric shapes, examining how the brain processes discrete geometric regularities such as symmetries and parallelism. The dataset supports research into the specialized brain systems engaged in abstract geometric perception and their distinction from general visual processing.

Participants

21

Size

71.1 GB

Version

vv1.0.0

Updated

Jul 10, 2026

This EEG dataset comprises neuroimaging recordings from participants performing an instruction-following task combined with a localizer task. The main task required participants to integrate or selectively attend to visual stimuli based on sequentially presented instructions specifying attention allocation, stimulus category, relevant features (color or shape), and motor response mappings. The dataset includes 16 blocks of the main task (512 trials total) and 8 blocks of a 1-back localizer task (320 trials), with full counterbalancing of experimental conditions across a single session per participant.

Participants

41

Channels

63 (10-10)

Size

57.7 GB

Version

vv1.0.0

Updated

Jul 10, 2026