Showing 10 of 754 datasets · page 12 of 76
This intracranial electroencephalography (iEEG) dataset contains neural recordings from patients with epilepsy, designed to investigate spatial volatility of neural activity patterns. The dataset includes raw iEEG signals acquired from implanted electrodes and is intended to support research on neural dynamics and epileptogenic zone localization.
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.
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.
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.
This dataset comprises simultaneous EEG-fMRI and diffusion-weighted imaging (DWI) recordings from 28 healthy adults performing a sustained attention task (gradCPT) along with resting state, checkerboard, and imagery tasks. The multimodal neuroimaging data were acquired using 64-channel EEG and 3T MRI, providing complementary measures of brain activity and structural connectivity. Both raw and preprocessed data are provided, enabling investigation of attention mechanisms and their neural correlates across multiple imaging modalities.
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.
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.
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.
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.
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.