Anatomical and Functional Characterization in Children With Unilateral Cerebral Palsy: An Atlas-Based Analysis
Claudio L Ferre1, Jason B Carmel2, Véronique H Flamand3,4
1Burke Neurological Institute, White Plains, NY, USA.
Insights
Children with unilateral cerebral palsy (UCP) and periventricular (PV) brain injuries show better hand function than those with middle cerebral artery (MCA) injuries. Unique anatomical differences predict hand function in UCP.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Medical Imaging
Background:
- Hand function variability in unilateral cerebral palsy (UCP) may stem from distinct brain injury types.
- Periventricular (PV) and middle cerebral artery (MCA) injuries represent different etiological pathways in UCP.
- Understanding anatomical differences linked to injury type is crucial for predicting functional outcomes.
Purpose of the Study:
- To investigate if periventricular (PV) versus middle cerebral artery (MCA) brain injuries in children with UCP are associated with unique anatomical characteristics.
- To determine if these anatomical differences correlate with observed variations in hand function.
- To explore the prognostic utility of quantitative anatomical analysis in UCP.
Main Methods:
- Structural brain imaging (3-T MRI) was performed on 40 children with UCP and 40 typically developing (TD) controls.
- Brain lesions were classified as PV or MCA, and whole brains were parcellated to estimate regional volumes.
- Principal Component Analysis (PCA) was used to identify anatomical components and their relationship with hand function.
Main Results:
- Children with PV injuries demonstrated significantly better hand function compared to those with MCA injuries.
- Multidimensional scaling revealed distinct volumetric clustering for MCA, PV, and TD groups.
- PCA-derived anatomical components predicted hand function more accurately than qualitative injury type.
Conclusions:
- Quantitative anatomical differences exist between PV and MCA injury types in UCP and significantly predict hand function.
- This atlas-based, quantitative approach offers a systematic way to discriminate between UCP subgroups.
- The findings suggest potential prognostic value for detailed neuroanatomical analysis in managing UCP.
Abstract:
Background. Variability in hand function among children with unilateral cerebral palsy (UCP) might reflect the type of brain injury and resulting anatomical sequelae. Objective. We used atlas-based analysis of structural images to determine whether children with periventricular (PV) versus middle cerebral artery (MCA) injuries might exhibit unique anatomical characteristics that account for differences in hand function. Methods. Forty children with UCP underwent structural brain imaging using 3-T magnetic resonance imaging. Brain lesions were classified as PV or MCA. A group of 40 typically developing (TD) children served as comparison controls. Whole brains were parcellated into 198 structures (regions of interest) to obtain volume estimates. Dexterity and bimanual hand function were assessed. Unbiased, differential expression analysis was performed to determine volumetric differences between PV and MCA groups. Principal component analysis (PCA) was performed and the top 3 components were extracted to perform regression on hand function. Results. Children with PV had significantly better hand function than children with MCA. Multidimensional scaling analysis of volumetric data revealed separate clustering of children with MCA, PV, and TD children. PCA extracted anatomical components that comprised the 2 types of brain injury. In the MCA group, reductions of volume were concentrated in sensorimotor structures of the injured hemisphere. Models using PCA predicted hand function with greater accuracy than models based on qualitative brain injury type. Conclusions. Our results highlight unique quantitative differences in children with UCP that also predict differences in hand function. The systematic discrimination between groups found in our study reveals future questions about the potential prognostic utility of this approach.
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