Showing 10 of 581 datasets · page 50 of 59
This dataset contains neuroimaging recordings from 29 participants investigating human brain responses to nociceptive stimulation. The study examines neural activity patterns during concomitant stimulation of Aδ and C nociceptors, contributing to understanding of pain processing mechanisms in the human brain.
This dataset comprises simultaneous 7T fMRI and EEG recordings from 25 native Mandarin Chinese speakers engaged in a naturalistic listening task featuring the Chinese version of Le Petit Prince under varying acoustic conditions (single-talker and multi-talker scenarios). The study investigates neural mechanisms of selective attention and speech comprehension in complex auditory environments, with participants attending to different talkers while maintaining fixation during fMRI acquisition. Preprocessed anatomical and functional MRI data, along with high-density EEG recordings, are provided in BIDS format alongside behavioral comprehension assessments. This dataset is derived from OpenNeuro ds005345 (v1.0.1) and has been curated for the NEMAR repository. Note: The README references French cohort considerations; however, the primary dataset composition consists of the 25 native Mandarin Chinese speakers described above.
This dataset comprises EEG recordings from 142 participants undergoing laser-evoked pain stimulation with concurrent pain intensity ratings. Participants received fixed-intensity nociceptive stimuli at two levels (low and high pain) across three blocks of 10 stimuli each, with pain ratings collected on a 0-10 scale after each trial. The dataset provides neurophysiological and behavioral measures of pain perception suitable for investigating the neural correlates of pain processing.
This dataset comprises EEG recordings from 65 participants during a laser-evoked pain stimulation paradigm. Participants received 30 laser stimuli at individually calibrated intensities and provided verbal pain ratings on a 0-10 scale. The study investigates the neural correlates of pain perception and subjective pain intensity ratings through concurrent electrophysiological recording.
This dataset comprises EEG recordings from 30 participants who received laser stimulation at individually calibrated pain thresholds and provided verbal pain ratings. Participants underwent a series of laser stimuli while maintaining visual fixation on a crosshair, followed by subjective pain intensity ratings on a 0-10 scale. The dataset supports investigation of neural correlates of pain perception and subjective pain rating processes.
This dataset comprises neuroimaging recordings from participants undergoing laser pain stimulation with concurrent pain rating assessments. This is a NEMAR-hosted reorganization of OpenNeuro dataset ds005285. Participants received 160 laser stimulations of varying intensities across 4 blocks, with pain ratings collected on a 0-10 scale. The study investigates pain perception and modulation mechanisms, with potential applications to understanding pain processing and therapeutic interventions.
This EEG dataset comprises recordings from 26 participants who received laser stimulation at fixed intensity while providing pain ratings on a 0-10 scale. The study investigates the neural correlates of pain perception and subjective pain ratings in response to nociceptive stimuli, with potential applications to understanding pain modulation mechanisms.
This dataset comprises laser-evoked pain responses from 30 participants who received fixed-intensity nociceptive stimuli at discrete energy levels (low pain: 3J or 3.5J; high pain: 3.5J or 4J) while providing subjective pain intensity ratings. The study involved 30 stimulation trials organized in 3 blocks with concurrent neurophysiological recordings, designed to investigate the neural correlates of pain perception and subjective pain rating behavior.
An overnight EEG-fMRI study conducted at the Advanced MRI section of NINDS/NIH, examining sleep physiology through simultaneous electroencephalography and functional magnetic resonance imaging. This pilot study involved multiple subjects who underwent two consecutive nights of approximately 8-hour scanning sessions with randomized arousal stimuli administered 8 times per night. This pilot investigation (sleep1) established protocols later expanded in a larger follow-up study (sleep2).
This fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants during 14 types of highly automated driving scenarios in a simulator environment. The study examines risk cognition in passengers across different age groups, sexes, and driving experience levels using an 8-channel fNIRS device. The dataset aims to identify differences in prefrontal cortex activation between low-risk and high-risk driving episodes to support safety-of-the-intended-functionality (SOTIF) improvements and brain-computer interface applications.