Graph Theoretic analysis of the Human Brain Functional Connectivity Alteration Due to Sleep Restriction

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dc.contributor.authorAntar, Marwa
dc.contributor.departmentEngineering
dc.date.accessioned2023-06-05T13:54:18Z
dc.date.available2023-06-05T13:54:18Z
dc.date.created2023-05
dc.date.issued2023-05-03
dc.date.submittedMay 2023
dc.date.updated2023-06-02T15:40:54Z
dc.degree.departmentEngineering
dc.degree.disciplineMS-Biomedical Engineering
dc.degree.grantorEast Carolina University
dc.degree.levelMasters
dc.degree.nameM.S.
dc.description.abstractSleep plays a vital role in learning and memory consolidation. Several studies used brain models of sleep deprivation (SD) and insomnia to study the association between sleep deficiency and cognitive decline conditions. SD was found to cause similar, albeit subtle, cognitive decline symptoms displayed by dementia patients affecting attentional functions, decision making, working and long-term memory. This study examines the effect of sleep restriction (SR) on brain networks and utilizes Functional Connectivity (FC) analysis to identify patterns of information processing between different brain regions. It particularly applies weighted phase-lag index (wPLI) to quantify brain signals synchronization levels during a visual oddball paradigm task that evokes event-related potentials (ERPs) associated with face recognition. This study also examines the viability of graph theoretic analysis (GTA), which provides a holistic view on the brain network topology. GTA quantifies the brain connectivity features to assess the global efficiency and local efficiency of information processing, pre- and post- SR intervention. Significant alterations were found in all graph indices mainly in α-, µ- and β- frequency bands due to induced mental fatigue. The obtained results reveal significantly lower local connections (p < 0.05) and lower global efficiency (p < 0.001), particularly in the α- band as a result of mental fatigue, reflecting the impact of sleep loss on attention and memory processing.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10342/12852
dc.language.isoen
dc.publisherEast Carolina University
dc.subjectFunctional connectivity
dc.subjectGraph theory
dc.subjectnetwork analysis
dc.subjectsleep deprivation
dc.subjectsleep restriction
dc.subjectcognitive decline
dc.subjectbrain network
dc.subjectevent-related potential
dc.subjectelectroencephalogram
dc.titleGraph Theoretic analysis of the Human Brain Functional Connectivity Alteration Due to Sleep Restriction
dc.typeMaster's Thesis
dc.type.materialtext

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