44 results for "structural connectome" · page 2 of 5 · ranked by relevance
…Processing speed in the human connectome across the lifespan". Research reported in…
This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
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.
FLUX is a comprehensive pipeline for magnetoencephalography (MEG) data analysis, providing standardized workflows for processing and analyzing MEG recordings. This dataset demonstrates the application of the FLUX pipeline to MEG neuroimaging data organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating reproducible and transparent MEG analysis across research groups. The dataset is derived from OpenNeuro ds004346 and contains MEG recordings with anatomical data.
…individual facial point clouds and structural MRIs were not collected due to…
The Natural Object Dataset (NOD) integrates electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic object stimuli from ImageNet. This multimodal neuroimaging resource combines high spatial resolution from fMRI with high temporal resolution from EEG and MEG to investigate neural mechanisms of object recognition in natural scenes, providing a unique opportunity to examine brain activity patterns across both stimuli and subjects.
…head model constructed from T1 structural MR images from 32 participants walking…
This magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.
…measurement unit (IMU) acceleration, T1 structural MR images, and video data from…