Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/57221
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dc.contributor.authorBorserio, Bernard Jamesen
dc.contributor.authorSharpley, Christopheren
dc.contributor.authorAgnew, Lindaen
dc.contributor.authorFourie, Jacobusen
dc.date.accessioned2024-01-09T04:19:12Z-
dc.date.available2024-01-09T04:19:12Z-
dc.date.created2019-08-
dc.date.issued2019-12-20-
dc.identifier.urihttps://hdl.handle.net/1959.11/57221-
dc.descriptionPlease contact rune@une.edu.au if you require access to this thesis for the purpose of research or study.en
dc.description.abstract<p>The relationship between the electroencephalographic activity of the default mode network (DMN) and self-reported depression symptoms was investigated. Three research questions which emerged from a review of existing literature were: (a) whether quantitative electroencephalograph analysis can be used to reliably identify the DMN; (b) whether DMN activity measured in this way significantly correlates with reported depression, and; (c) whether this activity significantly correlates with Clinical Content Subtypes of depression. Depression and depression subtype were measured in a community sample of 100 participants using the Zung Self-Rating Depression Scale, and electroencephalographic data were investigated using field power analysis. Results indicated that the DMN could be observed by comparing recordings taken over cortical areas associated with the network with non-DMN areas. Hypothesised significant correlations between total depression scores and DMN field power values in eyes-open and eyes-closed conditions were not observed, nor was degree of fluctuation between conditions found to significantly correlate with total depression score. However, participants reporting total scores above the threshold of clinically significant depression demonstrated significantly more theta field power within the DMN than those reporting depression levels below the threshold. The degree of prefrontal theta power fluctuation between conditions was shown to positively correlate with somatic depression subtype scores. Increased alpha field power within the DMN at rest was observed to be significantly correlated with increased cognitive depression subtype score. These findings indicate the validity of measuring DMN activity using field power analysis, as well as the complexity of the DMN and its relationship with depression.</p>en
dc.languageenen
dc.publisherUniversity of New England-
dc.relation.urihttps://hdl.handle.net/1959.11/61628en
dc.titleDefault Mode Network Electroencephalographic Activity in Depression and Depression Subtypesen
dc.typeThesis Masters Researchen
local.contributor.firstnameBernard Jamesen
local.contributor.firstnameChristopheren
local.contributor.firstnameLindaen
local.contributor.firstnameJacobusen
local.hos.emailst-sabl@une.edu.auen
local.thesis.passedPasseden
local.thesis.degreelevelMasters researchen
local.thesis.degreenameMaster of Science � MScen
local.contributor.grantorUniversity of New England-
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolSchool of Science and Technologyen
local.profile.emailbernard.borserio@live.auen
local.profile.emailcsharpl3@une.edu.auen
local.profile.emaillagnew2@une.edu.auen
local.profile.emailjfourie2@une.edu.auen
local.output.categoryT1en
local.access.restrictedto2021-12-20en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeArmidale, Australia-
local.contributor.lastnameBorserioen
local.contributor.lastnameSharpleyen
local.contributor.lastnameAgnewen
local.contributor.lastnameFourieen
dc.identifier.staffune-id:csharpl3en
dc.identifier.staffune-id:lagnew2en
dc.identifier.staffune-id:jfourie2en
local.profile.orcid0000-0001-7922-4848en
local.profile.orcid0000-0002-2803-0995en
local.profile.orcid0000-0002-4750-2257en
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:1959.11/57221en
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.thesis.bypublicationNoen
local.title.maintitleDefault Mode Network Electroencephalographic Activity in Depression and Depression Subtypesen
local.output.categorydescriptionT1 Thesis - Masters Degree by Researchen
local.access.yearsrestricted2en
local.school.graduationSchool of Science & Technologyen
local.thesis.borndigitalYes-
local.search.authorBorserio, Bernard Jamesen
local.search.supervisorSharpley, Christopheren
local.search.supervisorAgnew, Lindaen
local.search.supervisorFourie, Jacobusen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.conferred2019-
local.subject.for2020320221 Psychiatry (incl. psychotherapy)en
local.subject.for2020320903 Central nervous systemen
local.subject.seo2020200409 Mental healthen
local.subject.seo2020200508 Rural and remote area healthen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeUNE Affiliationen
Appears in Collections:School of Science and Technology
Thesis Masters Research
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