98 results for "Sensorimotor Cortex" · page 5 of 10 · ranked by relevance
This dataset contains MEG data collected as part of the FLUX pipeline project, a standardized analysis and preprocessing pipeline for magnetoencephalography (MEG) research. The dataset was reorganized into BIDS format from an original OpenNeuro dataset to support reproducible MEG analysis workflows across multiple research sites.
…neural activity in the parietal cortex, the precise role of this brain…
Imported from OpenNeuro ds004022
[ and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.
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 investigates brain signal-based emotion recognition through magnetoencephalography (MEG) recordings collected while participants viewed validated emotional video stimuli. It comprises three components: a large-scale online behavioral survey of 500 participants rating 40 video clips, head digitization data for co-registration, and MEG neural recordings from 23 participants viewing the same stimuli. Emotional states were assessed using Self-Assessment Manikin ratings, discrete emotion categories (PrEmo), and temporal highlight annotations, providing multi-faceted ground truth for affective neuroscience research.
[, 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.