100 results for "temporal cortex" · page 6 of 10 · ranked by relevance
[ and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed data suitable for investigating neural correlates of binary choice behavior and semantic processing.
This dataset contains electroencephalogram (EEG) recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).
…Sensors are placed over the motor cortex as described in the montage…
T16 is an EEG neuroimaging dataset containing electroencephalography recordings organized according to the Brain Imaging Data Structure (BIDS) standard version 1.8.0. The dataset includes hierarchical event descriptors (HED) version 8.1.0 for detailed annotation of experimental events and conditions. The dataset comprises 185 files totaling 8.2 GB of EEG data with standardized metadata and event annotations to support reproducible neuroscience research.
[ 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.