98 results for "Somatosensory Cortex" · page 3 of 10 · ranked by relevance
Imported from OpenNeuro ds003380
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 dataset enables investigation of neural mechanisms underlying object recognition in natural scenes by combining high spatial resolution (fMRI) with high temporal resolution (EEG/MEG) recordings, addressing limitations of single-modality approaches in characterizing both spatial representation patterns and temporal dynamics of visual cognitive processing.
This dataset contains electroencephalography (EEG) recordings collected to investigate the precise cortical contributions to feedback sensorimotor control during reactive balance tasks. The data supports research examining how the brain processes sensory feedback and generates motor commands to maintain postural stability in response to perturbations.
…DLPFC; dorsolateral pre-frontal cortex, OFC; orbitofrontal cortex, PPC; posterior parietal cortex…
…the prefrontal cortex (PFC), sensory motor cortices, and posterior parietal cortex (PPC…
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.
…dataset focus on the prefrontal cortex activity in fourteen types of highly…
THINGS-MEG is a large-scale magnetoencephalographic dataset comprising neural recordings from 4 participants viewing 22,448 unique photographic images representing 1,854 object concepts from the THINGS database across 12 sessions. This MEG dataset is part of the multimodal THINGS-data collection, which integrates MEG recordings with behavioral judgments and complementary neuroimaging modalities (fMRI, behavioral data) to enable comprehensive investigation of visual and semantic object processing. The dataset includes structural MRI for source localization and eye-tracking data, providing rich temporal measurements of object representations.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007028-blue…
Imported from OpenNeuro ds004022