Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/31161
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dc.contributor.authorBorserio, Bernard Jen
dc.contributor.authorSharpley, Christopher Fen
dc.contributor.authorBitsika, Vickien
dc.contributor.authorSarmukadam, Kimayaen
dc.contributor.authorFourie, Phillip Jen
dc.contributor.authorAgnew, Linda Len
dc.date.accessioned2021-07-29T04:50:05Z-
dc.date.available2021-07-29T04:50:05Z-
dc.date.issued2021-08-02-
dc.identifier.citationReviews in the Neurosciences, 32(6), p. 597-613en
dc.identifier.issn2191-0200en
dc.identifier.issn0334-1763en
dc.identifier.urihttps://hdl.handle.net/1959.11/31161-
dc.description.abstractDepression continues to carry a major disease burden worldwide, with limitations on the success of traditional pharmacological or psychological treatments. Recent approaches have therefore focused upon the neurobiological underpinnings of depression, and on the "individualization" of depression symptom profiles. One such model of depression has divided the standard diagnostic criteria into four "depression subtypes", with neurological and behavioral pathways. At the same time, attention has been focused upon the region of the brain known as the "default mode network" (DMN) and its role in attention and problem-solving. However, to date, no review has been published of the links between the DMN and the four subtypes of depression. By searching the literature studies from the last 20 years, 62 relevant papers were identified, and their findings are described for the association they demonstrate between aspects of the DMN and the four depression subtypes. It is apparent from this review that there are potential positive clinical and therapeutic outcomes from focusing upon DMN activation and connectivity, via psychological therapies, transcranial magnetic stimulation, and some emerging pharmacological models.en
dc.languageenen
dc.publisherWalter de Gruyter GmbHen
dc.relation.ispartofReviews in the Neurosciencesen
dc.titleDefault mode network activity in depression subtypesen
dc.typeJournal Articleen
dc.identifier.doi10.1515/revneuro-2020-0132en
dc.identifier.pmid33583166en
local.contributor.firstnameBernard Jen
local.contributor.firstnameChristopher Fen
local.contributor.firstnameVickien
local.contributor.firstnameKimayaen
local.contributor.firstnamePhillip Jen
local.contributor.firstnameLinda Len
local.subject.for2008110999 Neurosciences not elsewhere classifieden
local.subject.seo2008920410 Mental Healthen
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.schoolFaculty of Science, Agriculture, Business and Lawen
local.profile.emailbborseri@myune.edu.auen
local.profile.emailcsharpl3@une.edu.auen
local.profile.emailvbitsik2@une.edu.auen
local.profile.emailksarmuk2@une.edu.auen
local.profile.emailjfourie2@une.edu.auen
local.profile.emaillagnew2@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeGermanyen
local.format.startpage597en
local.format.endpage613en
local.identifier.scopusid85101326614en
local.peerreviewedYesen
local.identifier.volume32en
local.identifier.issue6en
local.contributor.lastnameBorserioen
local.contributor.lastnameSharpleyen
local.contributor.lastnameBitsikaen
local.contributor.lastnameSarmukadamen
local.contributor.lastnameFourieen
local.contributor.lastnameAgnewen
dc.identifier.staffune-id:bborserien
dc.identifier.staffune-id:csharpl3en
dc.identifier.staffune-id:vbitsik2en
dc.identifier.staffune-id:ksarmuk2en
dc.identifier.staffune-id:jfourie2en
dc.identifier.staffune-id:lagnew2en
local.profile.orcid0000-0001-7922-4848en
local.profile.orcid0000-0003-2518-6684en
local.profile.orcid0000-0002-4750-2257en
local.profile.orcid0000-0002-2803-0995en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
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local.identifier.unepublicationidune:1959.11/31161en
local.date.onlineversion2021-02-15-
dc.identifier.academiclevelStudenten
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleDefault mode network activity in depression subtypesen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorBorserio, Bernard Jen
local.search.authorSharpley, Christopher Fen
local.search.authorBitsika, Vickien
local.search.authorSarmukadam, Kimayaen
local.search.authorFourie, Phillip Jen
local.search.authorAgnew, Linda Len
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.identifier.wosid000680161000002en
local.year.available2021en
local.year.published2021en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/c42bd89e-fd0b-4e82-aaf2-39f4207cc281en
local.subject.for2020320903 Central nervous systemen
local.subject.seo2020200409 Mental healthen
local.codeupdate.date2021-10-23T09:02:34.717en
local.codeupdate.epersoncsharpl3@une.edu.auen
local.codeupdate.finalisedtrueen
local.original.seo2020200409 Mental healthen
Appears in Collections:Journal Article
School of Science and Technology
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