Exploring structural connectomes in children with unilateral cerebral palsy using graph theory Article Swipe
Ahmed Radwan
,
Lisa Decraene
,
Patrick Dupont
,
Nicolas Leenaerts
,
Cristina Simón-Martínez
,
Katrijn Klingels
,
Els Ortibus
,
Hilde Feys
,
Stefan Sunaert
,
Jeroen Blommaert
,
Lisa Mailleux
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.26241
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/hbm.26241
We explored structural brain connectomes in children with spastic unilateral cerebral palsy (uCP) and its relation to sensory‐motor function using graph theory. In 46 children with uCP (mean age = 10 years 7 months ± 2 years 9 months; Manual Ability Classification System I = 15, II = 16, III = 15) we assessed upper limb somatosensory and motor function. We collected multi‐shell diffusion‐weighted, T1‐weighted and T2‐FLAIR MRI and identified the corticospinal tract (CST) wiring pattern using transcranial magnetic stimulation. Structural connectomes were constructed using Virtual Brain Grafting‐modified FreeSurfer parcellations and multi‐shell multi‐tissue constrained spherical deconvolution‐based anatomically‐constrained tractography. Graph metrics (characteristic path length, global/local efficiency and clustering coefficient) of the whole brain, the ipsilesional/contralesional hemisphere, and the full/ipsilesional/contralesional sensory‐motor network were compared between lesion types (periventricular white matter (PWM) = 28, cortical and deep gray matter (CDGM) = 18) and CST‐wiring patterns (ipsilateral = 14, bilateral = 14, contralateral = 12, unknown = 6) using ANCOVA with age as covariate. Using elastic‐net regularized regression we investigated how graph metrics, lesion volume, lesion type, CST‐wiring pattern and age predicted sensory‐motor function. In both the whole brain and subnetworks, we observed a hyperconnectivity pattern in children with CDGM‐lesions compared with PWM‐lesions, with higher clustering coefficient ( p = [<.001–.047], =[0.09–0.27]), characteristic path length ( p = .003, =0.19) and local efficiency ( p = [.001–.02], =[0.11–0.21]), and a lower global efficiency with age ( p = [.01–.04], =[0.09–0.15]). No differences were found between CST‐wiring groups. Overall, good predictions of sensory‐motor function were obtained with elastic‐net regression ( R 2 = .40–.87). CST‐wiring pattern was the strongest predictor for motor function. For somatosensory function, all independent variables contributed equally to the model. In conclusion, we demonstrated the potential of structural connectomics in understanding disease severity and brain development in children with uCP.
Related Topics
Concepts
Connectome
Corticospinal tract
Neuroscience
Tractography
Clustering coefficient
Lesion
Cerebral palsy
Transcranial magnetic stimulation
White matter
Psychology
Diffusion MRI
Physical medicine and rehabilitation
Magnetic resonance imaging
Medicine
Artificial intelligence
Computer science
Radiology
Pathology
Cluster analysis
Stimulation
Functional connectivity
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/hbm.26241
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.26241
- OA Status
- gold
- Cited By
- 3
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321996670
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4321996670Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1002/hbm.26241Digital Object Identifier
- Title
-
Exploring structural connectomes in children with unilateral cerebral palsy using graph theoryWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-25Full publication date if available
- Authors
-
Ahmed Radwan, Lisa Decraene, Patrick Dupont, Nicolas Leenaerts, Cristina Simón-Martínez, Katrijn Klingels, Els Ortibus, Hilde Feys, Stefan Sunaert, Jeroen Blommaert, Lisa MailleuxList of authors in order
- Landing page
-
https://doi.org/10.1002/hbm.26241Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.26241Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.26241Direct OA link when available
- Concepts
-
Connectome, Corticospinal tract, Neuroscience, Tractography, Clustering coefficient, Lesion, Cerebral palsy, Transcranial magnetic stimulation, White matter, Psychology, Diffusion MRI, Physical medicine and rehabilitation, Magnetic resonance imaging, Medicine, Artificial intelligence, Computer science, Radiology, Pathology, Cluster analysis, Stimulation, Functional connectivityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
51Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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