Auditory Streaming and Interoception
[ 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.
…Simultaneous tDUS and blinking light increased cortical activity compared to light alone…
This dataset comprises intracranial electrophysiological recordings acquired using BCI2000 software and the CorTec BrainInterchange device. The study establishes an integrated ecosystem of technologies and protocols for adaptive neuromodulation research in human subjects, combining invasive neural recordings with brain-computer interface capabilities.
…Human cortical dynamics during full-body heading changes. Scientific Reports, 11(1…
This dataset comprises resting-state EEG recordings and cognitive task performance data from 140 healthy young adults (ages 18-35; 165 participants recruited, 140 completed final sample) collected across two sessions. The study investigates the relationship between intrinsic brain spatio-temporal dynamics, assessed via EEG microstates analysis, and executive function performance measured through a comprehensive battery of nine cognitive tasks. The dataset includes 64-channel EEG recordings acquired at 512 Hz during resting-state conditions and behavioral measures from standardized executive function assessments.
…Electroencephalography reflects the activity of sub-cortical brain regions during approach-withdrawal…
This dataset comprises EEG recordings from 24 dyads of participants engaged in collaborative rule learning and categorization tasks. Participants first negotiated rules for a 4-way categorization task, then performed the task while EEG was recorded, with pre- and post-test assessments on identical stimuli. The study investigates information alignment between interacting brains during collaborative learning.
This dataset contains raw EEG recordings investigating the temporal dynamics of food representation in the human brain. The study employs electroencephalography to characterize how food-related information is processed and represented across different time windows during neural processing. The data are organized in BIDS format to facilitate reproducibility and secondary analyses.
This dataset comprises electroencephalography (EEG) recordings investigating the neural correlates of syntactic structure and lexical properties using frequency tagging methodology. Participants were presented with linguistic stimuli while EEG activity was recorded to identify frequency-specific neural responses associated with different linguistic features. The dataset provides raw neurophysiological data suitable for studying the temporal dynamics of language processing at the neural level.