Date of Award
Master of Science
Electrical and Computer Engr
Gavin M. Bidelman
Hearing is an important sensory function of human communication and alerts people of dangerous conditions by detecting the emergency auditory alarm, sirens. We localized the source of EEG data (Hearing EEG data) into the cortical surface by solving the inverse problem and extracted the time series data from the 68 regions of Deskin-Killiany (DK) atlas. By using Granger Causality and Phase Transfer Entropy, we analyzed the brain connectivity of people experiencing normal hearing (NH) and hearing loss (HL). These results showed that NH and HL listeners’ connectivity levels are not the same. Moreover, we investigated which connectivities of the human brain are changed after hearing loss. We also performed a statistical analysis between eight regions of the brain; those are associated with the auditory and language processing tasks and significant changes were found in the primary Auditory and Broca’s areas. It is noticeable that HL listeners utilize the top-down modulation to perceive the sounds. Finally, we also found that neural and behavioral results are correlated.
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Mahmud, MD Sultan, "Brain Connectivity Analysis of Normal Hearing and Hearing Impaired Participants Based on the Cortical Surface EEG Data" (2018). Electronic Theses and Dissertations. 1803.