Showing 7 of 27 datasets · page 3 of 3
This dataset comprises neuroimaging data from a study investigating the brain correlates of motor complexity during observed and executed actions. The research examines mirror neuron system activity and motor processing using functional near-infrared spectroscopy (fNIRS). Data were collected from participants performing and observing motor tasks of varying complexity levels.
This dataset contains near-infrared spectroscopy (NIRS) recordings from clinical monitoring studies designed to evaluate motion artifact reduction techniques in long-term neuroimaging applications. The study implements collodion-fixed prism-based optical fibers to minimize motion-related artifacts during extended NIRS monitoring sessions, with potential applications in clinical neuroscience research.
This dataset comprises functional near-infrared spectroscopy (fNIRS) neuroimaging data collected during a study investigating the neural mechanisms of morphine analgesia and placebo effects. Participants received painful electrical stimulation under three conditions: baseline, morphine administration, and placebo treatment. The study measured hemodynamic responses in the medial frontopolar cortex (medial BA 10) to characterize how morphine and placebo attenuate neural responses to noxious stimuli.
This dataset comprises functional near-infrared spectroscopy (fNIRS) measurements of hemodynamic brain responses to painful thermal and electrical stimuli applied to the fingertip during a finger-tapping motor task. The study investigates the specificity of cerebral hemodynamic responses to noxious stimulation, combining neuroimaging with sensory stimulation protocols to characterize pain-related brain activation patterns.
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.
This fNIRS neuroimaging dataset captures hemodynamic responses during complex scene analysis tasks, enabling investigation of spatial attention decoding mechanisms. The dataset comprises functional near-infrared spectroscopy recordings from multiple participants performing visual attention tasks on complex scenes, providing insights into cortical activation patterns associated with attentional processes. This resource supports research in cognitive neuroscience, brain-computer interfaces, and visual perception.
fNIRS finger tapping with lateralized auditory cues. 5 subjects, 56 NIRS channels (8 sources, 16 detectors incl. 8 short), NIRx NIRScout, 7.8 Hz, SNIRF format. 3 conditions x 30 trials. Zenodo DOI: 10.5281/zenodo.6575155