Electronic Theses and Dissertations

Identifier

6151

Date

2018

Date of Award

4-19-2018

Document Type

Thesis

Degree Name

Master of Science

Major

Electrical and Computer Engr

Committee Chair

Mohammed Yeasin

Committee Member

Gavin M. Bidelman

Committee Member

Madhusudhanan Balasubramanian

Abstract

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.

Comments

Data is provided by the student.

Library Comment

dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.

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