CARLA: Adjusted common average referencing for cortico-cortical evoked potential data
…Processing speed in the human connectome across the lifespan". Research reported in…
- Participants
- 4
- Citations
- 14
- Size
- 1.53 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
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.
…head model constructed from T1 structural MR images from 32 participants walking…
This dataset contains magnetoencephalography (MEG) recordings from 20 adult participants examining the neural mechanisms underlying perception of regular geometric shapes such as hexagons, triangles, and quadrilaterals. The study investigates how geometric regularity modulates brain activity in ventral visual, intraparietal, and inferior temporal regions, and compares neural responses to predictions from convolutional neural networks and transformer vision models. A companion fMRI dataset examining the same phenomenon is shared separately.
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.
…measurement unit (IMU) acceleration, T1 structural MR images, and video data from…
NOD-EEG provides electroencephalography (EEG) recordings collected from the same subjects and using the same naturalistic ImageNet stimuli as the previously published NOD-fMRI dataset, extending the Natural Object Dataset (NOD) to include temporal dynamics of visual object recognition. Combined with companion MEG data, this multimodal resource enables investigation of neural mechanisms underlying object recognition across naturalistic scenes with both high spatial and high temporal resolution. The dataset includes raw and preprocessed EEG time series and epoched data, along with detailed trial-level event metadata.
…was conducted during the resting. Structural MRI data for the same participants…
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.
…It combines functional, structural, and diffusion-weighted MRI with EEG to examine…