58 results for "dichotic listening" · page 6 of 6 · ranked by relevance
…video, number search tasks, news listening, eyes closed, vibro-tactile stimulation, or…
This dataset comprises mobile EEG recordings from 44 healthy adults performing an auditory oddball task across three environmental conditions: laboratory, outdoor field, and campus navigation. Participants attended to or ignored complex tone stimuli (piano and horn) while 32-channel EEG was recorded using a Brain Vision LiveAmp amplifier. The study investigates how cognitive task demands, motor demands, and environmental complexity modulate attentional processing and event-related potentials during naturalistic behavior.
…Each participant performed two identical sessions, involving listening to four fictional stories…
This dataset comprises resting-state EEG recordings from two independently collected samples of healthy controls and first-episode psychosis (FEP) individuals. EEG data were acquired using a 60-channel low-impedance 10-10 system cap during 5-minute resting periods. The second sample excludes subjects overlapping with the first acquisition to avoid redundancy. Clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures are provided in the phenotype directory.
…A separate dataset containing MEG recordings from the auditory listening paradigm is…
This dataset comprises resting-state EEG recordings from individuals with first-episode psychosis (FEP) and healthy controls, collected using a 60-channel 10-10 system montage. This is the first of two independently collected samples, containing 5-minute resting EEG recordings acquired with an Elekta Neuromag Vectorview system, accompanied by comprehensive clinical assessments including psychiatric rating scales, cognitive batteries, and socioeconomic measures. This resource enables investigation of cortical network abnormalities and neurophysiological markers associated with early psychotic illness.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003082-blue…
This dataset contains EEG recordings from twenty-nine participants who listened to song melodies and indicated when the melody felt familiar. Participants then attempted to identify each song and selected among multiple-choice song titles, receiving visual feedback on accuracy. The dataset includes synchronized audio reconstructions of the stimuli presented during EEG recording, supporting research on music familiarity, recognition, and associated neural correlates.