EEG data set for a architectural affordances task
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- Size
- 15.8 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "neurophysiological biomarkers" · page 4 of 10 · ranked by relevance
[ dataset investigates neuronal mechanisms underlying exercise-induced hypoalgesia in endurance athletes versus non-athletes. Twenty-two athletes and twenty non-athletes performed high-intensity interval training (HIIT) while brain oxygenation was monitored across pain-processing regions including the prefrontal cortex, sensorimotor cortices, and posterior parietal cortex. The study reveals distinct neural activation patterns and pain reduction responses between groups, with athletes demonstrating greater oxyhemoglobin increases in the posterior parietal cortex during exercise and significant post-HIIT decreases in pain perception correlated with prefrontal cortex deactivation.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007406-blue…
This dataset comprises intracranial EEG recordings from a single patient undergoing single-pulse electrical stimulation, collected at Mayo Clinic as part of an NIH-funded initiative to develop a comprehensive database of stimulation responses. The study aims to advance understanding of human brain connectivity and network responses to electrical stimulation across the lifespan through systematic analysis of evoked potentials and network effects.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on007990-blue…
BigP3BCI Study G is a P300-based brain-computer interface dataset comprising EEG recordings from 20 healthy subjects performing a 9x8 checkerboard visual speller task. This derivative dataset is Study G of 20 studies in the larger BigP3BCI collection, the largest public P300 BCI dataset with ~267 subjects total. The data were acquired at 256 Hz using 16-channel EEG with a g.USBamp amplifier and include target and non-target event classifications suitable for machine learning applications.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004796-blue…
…discription A project to investigate neurophysiological correlates of Post-COVID-19 by…
This dataset investigates proactive selective attention mechanisms across different competitive contexts using neuroimaging data. The study examines how individuals modulate attentional resources in anticipation of task demands within varying levels of competition, providing insights into the neural correlates of goal-directed attention and performance optimization.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006866-blue…