Neurofeedback enables individuals to learn to voluntarily regulate their brain activity, but its effectiveness varies considerably across individuals. This project investigates whether cardiac interoceptive abilities contribute to these individual differences in neurofeedback learning. Using a dataset from a controlled neurofeedback study, we combine neurophysiological measures (EEG-derived heartbeat-evoked potentials), behavioral assessments of heartbeat perception, and self-reported interoceptive awareness. We aim to identify interoceptive markers associated with neurofeedback responsiveness and better understand the mechanisms underlying successful neurofeedback learning.
Heartbeat-evoked potentials (HEPs) provide an electrophysiological marker of cortical responses to cardiac signals. While widely studied in humans, their analysis in rodent models remains methodologically challenging. This project aims to develop and evaluate a reproducible processing pipeline for extracting HEPs from EEG and ECG recordings in freely behaving mice. By adapting established human HEP methodologies to murine electrophysiology, this work seeks to facilitate the investigation of the neural mechanisms underlying cardiac interoception and strengthen translational research on brain–heart interactions.
Musculoskeletal injuries represent a major challenge during intensive military training, affecting both personnel health and operational readiness. This project investigates whether individual characteristics of postural control can be used to predict the risk of fall-related injuries in U.S. Army Officer Candidate School trainees. Using force-platform posturography and machine learning approaches, we analyze postural sway patterns to develop predictive models of injury risk. This research aims to support the development of individualized injury prevention strategies and improve safety during military training.
Gastrointestinal dysfunction is common in anorexia nervosa, yet the relationship between gastric electrophysiological activity and gastrointestinal symptoms remains poorly understood. This project investigates gastric electrical activity and its relationship with meal-related gastrointestinal symptoms in individuals with anorexia nervosa and healthy controls. Using high-resolution Body Surface Gastric Mapping, we characterize gastric electrophysiological responses to food intake while simultaneously monitoring subjective gastrointestinal sensations. This approach aims to improve our understanding of the physiological mechanisms underlying gastrointestinal disturbances in anorexia nervosa.