Minimum Spanning Tree Reflects the Alterations of the Default Mode Network During Alzheimer's Disease

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dc.authorid0000-0001-6137-766X
dc.authorscopusid6603952578
dc.authorwosidÇiftçi, Koray/ABA-6527-2020
dc.contributor.authorÇiftçi, Koray
dc.date.accessioned2022-05-11T14:16:00Z
dc.date.available2022-05-11T14:16:00Z
dc.date.issued2011
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Biyomedikal Mühendisliği Bölümü
dc.description.abstractThis study analyzes the connectivity pattern of the default mode network (DMN) in patients with Alzheimer's disease (AD) in comparison with young and elderly controls using the minimum spanning tree (MST). This tree is a tool from graph theory and connects all the nodes of a graph with the minimum cost. The findings revealed that the alterations of the basic structure represented by the MST might provide valuable insights about the physiopathology of the disease. Additionally, by making use of the MST for functionally clustering the DMN, it was shown that the functional subnetworks comprising the DMN differed among the three subject groups. Nonetheless, there were intact prefrontal and temporal networks in elderly controls and AD patients, as well. The analysis shows that although the topologies of the MST characterized by the degree distributions do not differ significantly among the groups, the DMN of the AD patients exhibits a higher segregation, insomuch that posterior cingulate/precuneus and hippocampus/parahippocampus are heavily isolated from rest of the network. We conclude that the MST can be used effectively for analyzing cortical networks.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109E202]
dc.description.sponsorshipThe author acknowledges the support from the Scientific and Technological Research Council of Turkey (TUBITAK) under grant no. 109E202.
dc.identifier.doi10.1007/s10439-011-0258-9
dc.identifier.endpage1504
dc.identifier.issn0090-6964
dc.identifier.issn1573-9686
dc.identifier.issue5en_US
dc.identifier.pmid21286814
dc.identifier.scopus2-s2.0-79954435643
dc.identifier.scopusqualityQ2
dc.identifier.startpage1493
dc.identifier.urihttps://doi.org/10.1007/s10439-011-0258-9
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6146
dc.identifier.volume39
dc.identifier.wosWOS:000289243100010
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorÇiftçi, Koray
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofAnnals of Biomedical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBrain
dc.subjectClustering
dc.subjectGraph theory
dc.subjectMagnetic resonance imaging
dc.subjectNeurodegeneration
dc.subjectAlzheimer's disease
dc.subjectGraph-Theoretical Analysis
dc.subjectResting-State Networks
dc.subjectFunctional Connectivity
dc.subjectPosterior Cingulate
dc.subjectBrain Activity
dc.subjectFmri
dc.subjectCortex
dc.subjectRobust
dc.subjectOptimization
dc.subjectRegistration
dc.titleMinimum Spanning Tree Reflects the Alterations of the Default Mode Network During Alzheimer's Disease
dc.typeArticle

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