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q-bio.NC2026
Multimodal Physiological Decoding Reveals Individualized Arousal Dynamics in Closed-Loop Neurofeedback
Anirudh Natarajan, Paul Sajda
Most arousal-based brain-computer interfaces (BCIs) use EEG to decode cognitive state. But arousal is an autonomic process. We examined if peripheral physiological signals give a b…
q-bio.NC2025
Physiologically-Informed Predictability of a Teammate's Future Actions Forecasts Team Performance
Yinuo Qin, Richard T. Lee, Weijia Zhang +2
In collaborative environments, a deep understanding of multi-human teaming dynamics is essential for optimizing performance. However, the relationship between individuals' behavior…
q-bio.NC2024
EEG-estimated functional connectivity, and not behavior, differentiates Parkinson's patients from health controls during the Simon conflict task
Xiaoxiao Sun, Chongkun Zhao, Sharath Koorathota +1
Neural biomarkers that can classify or predict disease are of broad interest to the neurological and psychiatric communities. Such biomarkers can be informative of disease state or…