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      Aberrant cerebral network topology and mild cognitive impairment in early Parkinson’s disease

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      Author(s)
      Pereira, J. B.
      Aarsland, D.
      Ginestet, C. E.
      Lebedev, A. V.
      Wahlund, L. O.
      Simmons, A.
      Volpe, G.
      Westman, E.
      Date
      2015-05-06
      Source Title
      Human Brain Mapping
      Print ISSN
      1097-0193
      Publisher
      John Wiley & Sons, Inc.
      Volume
      36
      Issue
      8
      Pages
      2980 - 2995
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      The 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.
      Keywords
      Graph theory
      Structural co-variance networks;
      Characteristic path length
      Global efficiency
      Permalink
      http://hdl.handle.net/11693/49183
      Published Version (Please cite this version)
      https://doi.org/10.1002/hbm.22822
      Collections
      • Department of Physics 2485
      • Institute of Materials Science and Nanotechnology (UNAM) 2098
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