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      Metabolic brain networks in neurodegenerative disorders: a functional imaging approach

      Trends in Neurosciences
      Elsevier BV

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          Abstract

          Network analysis of functional brain imaging data is an innovative approach to study circuit abnormalities in neurodegenerative diseases. In Parkinson's disease, spatial covariance analysis of resting-state metabolic images has identified specific regional patterns associated with motor and cognitive symptoms. With functional imaging, these metabolic networks have recently been used to measure system-related progression and to evaluate novel treatment strategies. Network analysis is also being used to characterize specific functional biomarkers for Huntington's disease and Alzheimer's disease. These networks have been particularly helpful in uncovering compensatory mechanisms in genetically at-risk individuals. Ongoing developments in network applications are likely to enhance the role of functional imaging in the investigation of neurodegenerative disorders.

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          Author and article information

          Journal
          Trends in Neurosciences
          Trends in Neurosciences
          Elsevier BV
          01662236
          October 2009
          October 2009
          : 32
          : 10
          : 548-557
          Article
          10.1016/j.tins.2009.06.003
          2782537
          19765835
          fe75c94f-bf4e-429e-9c3f-f6b75daa6df6
          © 2009

          https://www.elsevier.com/tdm/userlicense/1.0/

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