scholarly journals Development and internal validation of a prediction model to estimate the risk to develop unilateral cerebral palsy at 12-18 months in infants with perinatal unilateral brain injury during their first months of life

2018 ◽  
Vol 60 ◽  
pp. 57-57
Keyword(s):  
Cerebral Palsy ◽  
Brain Injury ◽  
Prediction Model ◽  
Internal Validation ◽  
Unilateral Cerebral Palsy ◽  
Unilateral Brain

scholarly journals Identifying relevant biomarkers of brain injury from structural MRI: Validation using automated approaches in children with unilateral cerebral palsy

PLoS ONE ◽  
2017 ◽  
Vol 12 (8) ◽  
pp. e0181605 ◽  
Author(s):  
Alex M. Pagnozzi ◽  
Nicholas Dowson ◽  
James Doecke ◽  
Simona Fiori ◽  
Andrew P. Bradley ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Brain Injury ◽  
Structural Mri ◽  
Unilateral Cerebral Palsy

scholarly journals Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy

2015 ◽  
Vol 46 (2) ◽  
pp. 270-279 ◽  
Author(s):  
Alex M. Pagnozzi ◽  
Simona Fiori ◽  
Roslyn N. Boyd ◽  
Andrea Guzzetta ◽  
James Doecke ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Brain Injury ◽  
Injury Severity ◽  
Unilateral Cerebral Palsy

scholarly journals Understanding the impact of bilateral brain injury in children with unilateral cerebral palsy

2020 ◽  
Vol 41 (10) ◽  
pp. 2794-2807 ◽  
Author(s):  
Alex M. Pagnozzi ◽  
Kerstin Pannek ◽  
Jurgen Fripp ◽  
Simona Fiori ◽  
Roslyn N. Boyd ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Brain Injury ◽  
Unilateral Cerebral Palsy ◽  
The Impact

scholarly journals Anatomical and Functional Characterization in Children With Unilateral Cerebral Palsy: An Atlas-Based Analysis

2020 ◽  
Vol 34 (2) ◽  
pp. 148-158 ◽  
Author(s):  
Claudio L. Ferre ◽  
Jason B. Carmel ◽  
Véronique H. Flamand ◽  
Andrew M. Gordon ◽  
Kathleen M. Friel
Keyword(s):  
Cerebral Palsy ◽  
Brain Injury ◽  
Hand Function ◽  
Differential Expression Analysis ◽  
Functional Characterization ◽  
Principal Component ◽  
Scaling Analysis ◽  
Prognostic Utility ◽  
Unilateral Cerebral Palsy ◽  
Volume Estimates

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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