Frontal Alpha Asymmetry BCI Dissertation

Reason: This dissertation is under embargo until all papers related to its findings are published.







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Frontal Alpha Asymmetry Interaction with an Experimental Story EEG Brain-Computer Interface

posted on 03.11.2022, 13:30 authored by Claudia M KrogmeierClaudia M Krogmeier

 Although interest in brain-computer interfaces (BCIs) from researchers and consumers continues to increase, many BCIs lack the complexity and imaginative properties thought to guide users towards successful brain activity modulation. In this research, an experimental story brain-computer interface (ES-BCI) was developed, with which users could interact using cognitive strategies; specifically, thinking about the story and engaging with the main character of the story through their thought processes. In this system, the user’s frontal alpha asymmetry (FAA) measured with electroencephalography (EEG) was linearly mapped to the color saturation of the main character in the story. Therefore, the color saturation of the main character increased as FAA recorded from the participant’s brain activity increased above the FAA threshold required to receive visual feedback. A user-friendly experimental design was implemented using a comfortable EEG device and short neurofeedback (NF) training protocol. Eight distinct story scenes, each with a View and Engage NF component were created, and are referred to as blocks. In this system, seven out of 19 participants successfully increased FAA during the course of the study, for a total of ten successful blocks out of 152. Results concerning left (Lact) and right (Ract) prefrontal cortical activity contributions to FAA in both successful and unsuccessful blocks were examined to understand FAA measurements in greater detail. Additionally, electrodermal activity data (EDA) and self-reported questionnaire data were investigated to understand the user experience with this ES-BCI. Results suggest the potential of ES-BCI environments for engaging users and allowing for FAA modulation. New research directions for artistic BCIs investigating affect are discussed. 


Degree Type

Doctor of Philosophy


Computer Graphics Technology

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Christos Mousas

Additional Committee Member 2

David Whittinghill

Additional Committee Member 3

Esteban García Bravo

Additional Committee Member 4

Nandhini Giri