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Utilization of EEG-based BCI System in Autistic Individuals

Susam, Busra Tugce (2024) Utilization of EEG-based BCI System in Autistic Individuals. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by impaired social interaction and communication, restricted interests, and repetitive behaviors. ASD is often accompanied by impaired emotional regulations (ER) defined as the ability to modify one’s arousal and emotional state to promote adaptive behavior. There has been increasing emphasis on developing technology-based intervention tools to improve ER in
ASD. Electroencephalography (EEG) has shown success in reducing ASD symptoms when used in neurofeedback-based interventions.
In this dissertation work, we develop a novel electroencephalography (EEG)-based brain-
computer interface (BCI) system that enables us to identify different stress levels and the
brain responses of autistic individuals for different stress levels and monitor the participant
responses through the analysis of certain EEG patterns associated with ER. In order to help
cultivate emotional self-awareness, support generalization of ER skills, we develop techniques
to identify and extract EEG features that are markers for real world communication or social
interaction skills.

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Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Susam, Busra Tugcebts38@pitt.edubts380000-0001-8250-2044
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairAkcakaya, Muratakcakaya@pitt.edu0000-0001-5094-1931
Committee MemberEl-Jaroudi, Amroamro@pitt.edu
Committee MemberMao, Zhi-Hongzhm4@pitt.edu0000-0002-3025-463X
Committee MemberSejdic, Ervinesejdic@pitt.edu
Committee MemberMazefsky, Carla A.mazefskyca@upmc.edu
Date: 3 June 2024
Date Type: Publication
Defense Date: 6 December 2023
Approval Date: 3 June 2024
Submission Date: 27 March 2024
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 85
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: EEG, Autism, Mindfulness
Date Deposited: 03 Jun 2024 14:39
Last Modified: 03 Jun 2024 14:39
URI: http://d-scholarship.pitt.edu/id/eprint/45894

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