UMD researchers identify brain signals linked to cybersickness in immersive environments
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Oct-2026 05:16 ET (26-Oct-2026 09:16 GMT/UTC)
In a new study published in the journal Virtual Reality, University of Maryland scientists used electroencephalography (EEG) to identify changes in brain wave activity while participants viewed virtual content designed to induce cybersickness. The findings offer real-time signals that could help designers detect and reduce cybersickness symptoms as they occur.
The NSF grant will support the development of an integrated research and training framework for AI-enabled robotics and cyber-physical systems. Over four years, the project will combine artificial intelligence, advanced computing, digital twins and hands-on robotics experimentation to prepare students and researchers to develop and test intelligent systems in virtual and real-world environments.
Boise State assistant professor and avian biologist, Stephanie Galla won an NSF EPSCoR fellowship to study why some bird subspecies survive while others decline, focusing on the Columbian sharp-tailed grouse, which has lost about 95% of its range over the past century.
Her team is curious about whether the Columbian subspecies has, comparatively, lost more diversity than other subspecies; they also question when and how it broke off from other subspecies. Since policies like the Endangered Species Act organize threat status by taxonomic groups, the answers to these questions do more than satisfy curiosity: They help inform which species and subspecies need protection.
Positrons are the antimatter counterpart of an electron. Physicists trapped a positron and cooled it to temperatures near absolute zero. Positron is suspended in a wall-free trap, safely separated from ordinary matter. Team will conduct most precise comparison yet between matter and antimatter. Any difference between the electron and positron could expose cracks in the Standard Model of particle physics.