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dc.contributor.authorPereira, J. B.en_US
dc.contributor.authorAarsland, D.en_US
dc.contributor.authorGinestet, C. E.en_US
dc.contributor.authorLebedev, A. V.en_US
dc.contributor.authorWahlund, L. O.en_US
dc.contributor.authorSimmons, A.en_US
dc.contributor.authorVolpe, G.en_US
dc.contributor.authorWestman, E.en_US
dc.date.accessioned2019-02-10T20:17:02Z
dc.date.available2019-02-10T20:17:02Z
dc.date.issued2015-05-06en_US
dc.identifier.issn1097-0193
dc.identifier.urihttp://hdl.handle.net/11693/49183
dc.description.abstractThe aim of this study was to assess whether mild cognitive impairment (MCI) is associatedwith disruption in large-scale structural networks in newly diagnosed, drug-na€ıve patients with Parkin-son’s disease (PD). Graph theoretical analyses were applied to 3T MRI data from 123 PD patients and 56controls from the Parkinson’s progression markers initiative (PPMI). Thirty-three patients were classifiedas having Parkinson’s disease with mild cognitive impairment (PD-MCI) using the Movement DisordersSociety Task Force criteria, while the remaining 90 PD patients were classified as cognitively normal (PD-CN). Global measures (clustering coefficient, characteristic path length, global efficiency, small-world-ness) and regional measures (regional clustering coefficient, regional efficiency, hubs) were assessed inthe structural networks that were constructed based on cortical thickness and subcortical volume data.PD-MCI patients showed a marked reduction in the average correlation strength between cortical andsubcortical regions compared with controls. These patients had a larger characteristic path length andreduced global efficiency in addition to a lower regional efficiency in frontal and parietal regions com-pared with PD-CN patients and controls. A reorganization of the highly connected regions in the networkwas observed in both groups of patients. This study shows that the earliest stages of cognitive decline inPD are associated with a disruption in the large-scale coordination of the brain network and with adecrease of the efficiency of parallel information processing.en_US
dc.language.isoEnglishen_US
dc.source.titleHuman Brain Mappingen_US
dc.relation.isversionofhttps://doi.org/10.1002/hbm.22822en_US
dc.subjectGraph theoryen_US
dc.subjectStructural co-variance networks;en_US
dc.subjectCharacteristic path lengthen_US
dc.subjectGlobal efficiencyen_US
dc.titleAberrant cerebral network topology and mild cognitive impairment in early Parkinson’s diseaseen_US
dc.typeArticleen_US
dc.departmentDepartment of Physicsen_US
dc.departmentInstitute of Materials Science and Nanotechnology UNAMen_US
dc.citation.spage2980en_US
dc.citation.epage2995en_US
dc.citation.volumeNumber36en_US
dc.citation.issueNumber8en_US
dc.identifier.doi10.1002/hbm.22822en_US
dc.publisherJohn Wiley & Sons, Inc.en_US


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