Showing 10 of 570 datasets · page 41 of 57
PROBE iEEG is a dataset of intracranial electroencephalography (iEEG) recordings from patients undergoing epilepsy surgery evaluation, accompanied by pre- and post-operative MRI scans. This dataset provides raw electrophysiological data and structural neuroimaging for investigating brain function and localization of epileptogenic zones using invasive recording techniques.
This dataset comprises electroencephalography (EEG) recordings from participants performing an auditory oddball task conducted at the Meditation Research Institute in Rishikesh, India. Participants completed three 13-minute sessions during which they were presented with 750 auditory stimuli consisting of standard tones (70%), oddball tones (15%), and distractor noise bursts (15%), with instructions to respond to oddball stimuli via keypad. The study was approved by the Meditation Research Institute ethical committee in India and the University of California San Diego Institutional Review Board (IRB project #090731) and represents a standardized paradigm for investigating event-related potentials and attentional processing.
A mobile EEG study examining gait-related artifacts during naturalistic walking behavior. Nineteen participants completed outdoor walking tasks along two different routes, with repeated trials including a self-paced button-pressing condition. This dataset provides empirical characterization of movement-related noise in mobile neuroimaging recordings during unconstrained locomotion. This dataset is sourced from OpenNeuro (ds003039.v1.0.2) and has been republished on NEMAR.
A multicenter retrospective study of intracranial EEG (iEEG) data from 100 subjects across 5 epilepsy centers, with 4 centers' data publicly available. The dataset includes electrocorticography (ECoG) and stereotactic EEG (SEEG) recordings organized around seizure events, with clinical annotations of seizure onset zones and surgical resection sites. This resource supports research on neural fragility as an electrophysiological marker for identifying seizure onset zones in epilepsy patients.
This high-density EEG dataset captures brain activity during guided emotional imagery across 15 distinct emotion states. Participants listened to voice-guided scenarios designed to evoke emotions with varying valence (positive and negative) while their neural activity was recorded with eyes closed. The dataset includes preprocessed EEG data with artifact correction and high-pass filtering, providing a resource for investigating neural correlates of emotion imagination and brain state dynamics during emotional experiences.
This magnetoencephalography (MEG) dataset comprises human recordings during a sequential conflict task, designed to investigate neural mechanisms of conflict detection and decision-making. The dataset includes recordings from both healthy controls and patients with movement disorders, enabling investigation of cortico-subthalamic interactions and oscillatory dynamics in the beta frequency band during cognitive conflict processing.
This dataset comprises scalp EEG recordings from 49 participants (19 younger adults aged 20-40 years and 30 older adults aged 49-73 years) performing an interleaved dual-oddball audio-visual attention task. The study investigates age-related differences in selective attention and sensory processing by examining event-related potentials during three task conditions: focus visual, focus auditory, and attention shift between modalities. Data were collected from 33 EEG channels plus EOG and mastoid reference channels at 250 Hz sampling rate.
This dataset comprises magnetoencephalography (MEG) recordings from a CTF phantom used to evaluate and compare deep brain stimulation (DBS) artifact rejection methods. The phantom recordings serve as a controlled reference for assessing the comparative performance of various artifact rejection techniques in MEG data contaminated by DBS-related artifacts, providing a standardized benchmark for methodological validation.
EEG dataset containing recordings from multiple subjects. This dataset is mirrored on NEMAR from OpenNeuro (ds002833) and contains raw EEG data in BIDS format.
A multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.