%0 Journal Article
%A de Almeida Marcelino, Ana Luísa
%A Al-Fatly, Bassam
%A Tuncer, Mehmet S
%A Krägeloh-Mann, Ingeborg
%A Koy, Anne
%A Kühn, Andrea
%T Lesion distribution and network mapping in dyskinetic cerebral palsy.
%J Brain communications
%V 7
%N 3
%@ 2632-1297
%C [Oxford]
%I Oxford University Press
%M DZNE-2025-00774
%P fcaf228
%D 2025
%X 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
%K dyskinetic cerebral palsy (Other)
%K lesion network mapping (Other)
%K lesion pattern (Other)
%K neuroimaging (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40574970
%2 pmc:PMC12199781
%R 10.1093/braincomms/fcaf228
%U https://pub.dzne.de/record/279443