Electronic Theses and Dissertations

Identifier

6634

Date

2020

Document Type

Thesis

Degree Name

Master of Science

Major

Biomedical Engineering

Committee Chair

Amy de Jongh Curry

Committee Member

Aaryani Tipirneni-Sajja

Abstract

The reliability of global graph measures derived from neuroimaging data is an important criterion for their use as biomarkers for neurological disorders. This study examined the reliability of the global efficiency (GE), characteristic path length (CPL), transitivity, and synchronizability of functional whole-brain and intra-hemispheric networks based on resting-state magnetoencephalography. Brain sources were reconstructed using atlas-based beamforming, and functional connectivity in six frequency bands was estimated using the debiased weighted phase lag index. An optimal threshold of 100% was chosen based on test-retest reliability of the measures. At this threshold, test-retest reliability of the GE, CPL, and transitivity was mostly fair to excellent except for in the delta band. However, test-retest reliability of the synchronizability was mostly poor to fair. There was no significant effect of gender on any graph measure. Overall, these results indicate that the GE, CPL, and transitivity in most of the frequency bands may be useful biomarkers.

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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