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@ARTICLE{VanderLinden:1005754,
      author       = {Van der Linden, Annemie and Hoehn, Mathias},
      title        = {{M}onitoring {N}euronal {N}etwork {D}isturbances of {B}rain
                      {D}iseases: {A} {P}reclinical {MRI} {A}pproach in the
                      {R}odent {B}rain},
      journal      = {Frontiers in cellular neuroscience},
      volume       = {15},
      issn         = {1662-5102},
      address      = {Lausanne},
      publisher    = {Frontiers Research Foundation},
      reportid     = {FZJ-2023-01608},
      pages        = {815552},
      year         = {2022},
      abstract     = {Functional and structural neuronal networks, as recorded by
                      resting-state functional MRI and diffusion MRI-based
                      tractography, gain increasing attention as data driven whole
                      brain imaging methods not limited to the foci of the primary
                      pathology or the known key affected regions but permitting
                      to characterize the entire network response of the brain
                      after disease or injury. Their connectome contents thus
                      provide information on distal brain areas, directly or
                      indirectly affected by and interacting with the primary
                      pathological event or affected regions. From such
                      information, a better understanding of the dynamics of
                      disease progression is expected. Furthermore, observation of
                      the brain's spontaneous or treatment-induced improvement
                      will contribute to unravel the underlying mechanisms of
                      plasticity and recovery across the whole-brain networks. In
                      the present review, we discuss the values of functional and
                      structural network information derived from systematic and
                      controlled experimentation using clinically relevant animal
                      models. We focus on rodent models of the cerebral diseases
                      with high impact on social burdens, namely,
                      neurodegeneration, and stroke.Keywords: Alzheimer's disease;
                      Huntington's disease; functional connectivity;
                      neurodegenerative diseases; neuronal networks; rodents;
                      stroke; structural connectivity.},
      cin          = {INM-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-3-20090406},
      pnm          = {5251 - Multilevel Brain Organization and Variability
                      (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5251},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {35046778},
      UT           = {WOS:000746515200001},
      doi          = {10.3389/fncel.2021.815552},
      url          = {https://juser.fz-juelich.de/record/1005754},
}