Using EEG in neurofeedbacktraining to decrease visual motionsensitivity and motion-sickness

Abstract: Patients who suffer from motion-sickness, visual vertigo and other conditions relating to visual hypersensitivity will often feel dizzy when exposed to rapid visual motion or cluttered fields-of-view. Previous studies indicate that attentiveness to these stimuli influence the intensity of discomfort for these individuals, which suggests that mentally ignoring visual stimuli might help make them more tolerable. This thesis project had two goals. The primary goal was the development of a visual biofeedback system for use with a commercial electroencephalographic headset and a personal computer. The secondary goal was to evaluate its usefulness for treating motion-sickness and other related illnesses through regular training sessions. A neurofeedback program was constructed using MATLAB and a Muse 2 Brain Sensing Headband (Muse). The program projected a spinning maze like pattern on a monitor where increase in velocity was proportional to increase in theta wave activity (3.5-6.5 Hz) detected by the Muse. Five test subjects (three men and two women) were given a copy of the program and a Muse, and then instructed to practice reducing their EEG activity (e.g. by calming themselves), which would be reflected in the program as a slower spin velocity of the maze. These practice sessions took place daily for seven days. Neurofeedback proficiency and body sway data was collected before and after. Mean spectral power data from the training regimen shows a 23.7% drop in theta wave activity from first session to last (p = 0.005). Using Pearson’s correlation, no significant results were obtained while comparing training improvements and proficiency test improvements (r = -0.22, p = 0.72) or reduction in body sway (r = 0.78, p = 0.12).