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dc.contributor.authorPereira, Joana B
dc.contributor.authorMijalkov, Mite
dc.contributor.authorKakaei, Ehsan
dc.contributor.authorMecocci, Patricia
dc.contributor.authorVellas, Bruno
dc.contributor.authorTsolaki, Magda
dc.contributor.authorKloszewska, Iwona
dc.contributor.authorSoininen, Hilkka
dc.contributor.authorSpenger, Christian
dc.contributor.authorLovestone, Simmon
dc.contributor.authorSimmons, Andrew
dc.contributor.authorWahlund, Lars-Olof
dc.contributor.authorVolpe, Giovanni
dc.contributor.authorWestman, Eric
dc.date.accessioned2016-10-11T07:45:47Z
dc.date.available2016-10-11T07:45:47Z
dc.date.issued2016
dc.identifier10.1093/cercor/bhw128fi_FI
dc.identifier.citationPereira, J. B., Mijalkov, M., Kakaei, E., Mecocci, P., Vellas, B., Tsolaki, M., … Westman, E. (2016). Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer’s Disease. Cerebral Cortex (New York, NY), 26(8), 3476–3493. http://doi.org/10.1093/cercor/bhw128fi_FI
dc.identifier.issn1047-3211
dc.identifier.urihttps://erepo.uef.fi/handle/123456789/149
dc.descriptionArticle
dc.description.abstractRecent findings suggest that Alzheimer's disease (AD) is a disconnection syndrome characterized by abnormalities in large-scale networks. However, the alterations that occur in network topology during the prodromal stages of AD, particularly in patients with stable mild cognitive impairment (MCI) and those that show a slow or faster progression to dementia, are still poorly understood. In this study, we used graph theory to assess the organization of structural MRI networks in stable MCI (sMCI) subjects, late MCI converters (lMCIc), early MCI converters (eMCIc), and AD patients from 2 large multicenter cohorts: ADNI and AddNeuroMed. Our findings showed an abnormal global network organization in all patient groups, as reflected by an increased path length, reduced transitivity, and increased modularity compared with controls. In addition, lMCIc, eMCIc, and AD patients showed a decreased path length and mean clustering compared with the sMCI group. At the local level, there were nodal clustering decreases mostly in AD patients, while the nodal closeness centrality detected abnormalities across all patient groups, showing overlapping changes in the hippocampi and amygdala and nonoverlapping changes in parietal, entorhinal, and orbitofrontal regions. These findings suggest that the prodromal and clinical stages of AD are associated with an abnormal network topology.fi_FI
dc.language.isoENfi_FI
dc.publisherOxford University Pressfi_FI
dc.relation.ispartofseriesCEREBRAL CORTEX (NEW YORK NY)
dc.relation.urihttp://doi.org/10.1093/cercor/bhw128fi_FI
dc.rightsCC BY http://creativecommons.org/licenses/by/4.0/fi_FI
dc.subjectcloseness centralityfi_FI
dc.subjectclusteringfi_FI
dc.subjectmodularityfi_FI
dc.subjectstructural covariance networksfi_FI
dc.subjecttransitivityfi_FI
dc.titleDisrupted network topology in patients with stable and progressive mild cognitive impairment and Alzheimer's diseasefi_FI
dc.typehttp://purl.org/eprint/type/JournalArticle
dc.description.versionPublisher's pdffi_FI
dc.contributor.departmentFaculty of Health Sciences
dc.contributor.departmentSchool of Medicine / Clinical Medicine
uef.solecris.id41023245
eprint.statushttp://purl.org/eprint/status/PeerReviewedfi_FI
dc.type.publicationinfo:eu-repo/semantics/article
dc.rights.accessrights© Author
dc.relation.doi10.1093/cercor/bhw128
dc.description.reviewstatushttp://purl.org/eprint/status/PeerReviewed
dc.format.pagerange3476–3493
dc.relation.issn1047-3211
dc.relation.issue8
dc.relation.volume26


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