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@ARTICLE{deAlmeidaMarcelino:279443,
      author       = {de Almeida Marcelino, Ana Luísa and Al-Fatly, Bassam and
                      Tuncer, Mehmet S and Krägeloh-Mann, Ingeborg and Koy, Anne
                      and Kühn, Andrea},
      title        = {{L}esion distribution and network mapping in dyskinetic
                      cerebral palsy.},
      journal      = {Brain communications},
      volume       = {7},
      number       = {3},
      issn         = {2632-1297},
      address      = {[Oxford]},
      publisher    = {Oxford University Press},
      reportid     = {DZNE-2025-00774},
      pages        = {fcaf228},
      year         = {2025},
      abstract     = {Dyskinetic cerebral palsy encompasses a group of
                      predominantly perinatally acquired complex motor disorders
                      that present with dystonia and/or choreoathetosis and are
                      frequently associated with brain lesions in neuroimaging.
                      Recently, lesion network mapping provided a tool to redefine
                      neurological disorders as circuitopathies. Elucidating the
                      common networks impacted by lesions in this condition could
                      pave the way to identify new targets for neuromodulatory
                      therapeutic approaches. In this study, we aim to assess
                      lesion distribution in dyskinetic cerebral palsy and
                      identify a related functional network derived from lesions.
                      Here, we review the literature of MRI findings in dyskinetic
                      cerebral palsy and perform literature-based lesion network
                      mapping. Articles reporting conventional MRI findings
                      clearly attributable to affected patients were included for
                      review. Imaging findings and their anatomical distribution
                      were extracted and quantified according to an established
                      MRI classification system for cerebral palsy. Reviewed
                      articles were searched for figures depicting lesions and
                      these were traced onto a paediatric template. Whole-brain
                      functional connectivity from lesions causing dyskinetic
                      cerebral palsy was calculated using a paediatric
                      resting-state functional MRI connectome. Individual maps
                      were thresholded and later overlapped to derive a common
                      network map associated with dyskinetic cerebral palsy.
                      Results were contrasted with two control datasets for
                      spatial specificity. Review of 48 selected articles revealed
                      that grey matter injury predominated $(51\%),$ followed by
                      white matter injury $(28\%).$ In $16\%$ of cases MRI was
                      normal. Subcortical lesions affected the thalamus, pallidum
                      and putamen in $>40\%$ of reported patients, respectively.
                      Figures available from 23 literature cases were used to
                      calculate the lesion netwok map of dyskinetic cerebral
                      palsy. The lesion-derived map revealed functional
                      connectivity to a wide network including the brainstem,
                      cerebellum, basal ganglia, cingulate and sensorimotor
                      cortices. The strongest connectivity was found for the motor
                      thalamus. This study confirms subcortical grey matter
                      lesions as the most common MRI finding in dyskinetic
                      cerebral palsy. The neural network identified with lesion
                      network mapping includes areas previously implicated in
                      hyperkinetic disorders and highlights the motor thalamus as
                      a common network node. These results should be validated and
                      their therapeutic implications explored in prospective
                      trials.},
      keywords     = {dyskinetic cerebral palsy (Other) / lesion network mapping
                      (Other) / lesion pattern (Other) / neuroimaging (Other)},
      cin          = {AG Kühn},
      ddc          = {610},
      cid          = {I:(DE-2719)5000008},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40574970},
      pmc          = {pmc:PMC12199781},
      doi          = {10.1093/braincomms/fcaf228},
      url          = {https://pub.dzne.de/record/279443},
}