Literature DB >> 31983314

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

Claudio L Ferre1, Jason B Carmel2, Véronique H Flamand3,4, Andrew M Gordon5, Kathleen M Friel1,6.   

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.

Entities:  

Keywords:  automated MRI analysis; hand function; pattern recognition; quantitative MRI; unilateral cerebral palsy

Mesh:

Year:  2020        PMID: 31983314      PMCID: PMC8158652          DOI: 10.1177/1545968319899916

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  48 in total

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3.  Atlas-based analysis of resting-state functional connectivity: evaluation for reproducibility and multi-modal anatomy-function correlation studies.

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4.  Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: application to normal elderly and Alzheimer's disease participants.

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Journal:  Neuroimage       Date:  2009-06       Impact factor: 6.556

5.  Anatomical characterization of athetotic and spastic cerebral palsy using an atlas-based analysis.

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6.  Sensory and motor deficits in children with cerebral palsy born preterm correlate with diffusion tensor imaging abnormalities in thalamocortical pathways.

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Review 7.  A systematic review of neuroimaging for cerebral palsy.

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8.  Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool.

Authors:  Zifei Liang; Xiaohai He; Can Ceritoglu; Xiaoying Tang; Yue Li; Kwame S Kutten; Kenichi Oishi; Michael I Miller; Susumu Mori; Andreia V Faria
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

Review 9.  RNA-Seq differential expression analysis: An extended review and a software tool.

Authors:  Juliana Costa-Silva; Douglas Domingues; Fabricio Martins Lopes
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10.  Brain MRI Pattern Recognition Translated to Clinical Scenarios.

Authors:  Andreia V Faria; Zifei Liang; Michael I Miller; Susumu Mori
Journal:  Front Neurosci       Date:  2017-10-20       Impact factor: 4.677

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  2 in total

1.  Motor planning is not restricted to only one hemisphere: evidence from ERPs in individuals with hemiplegic cerebral palsy.

Authors:  Neda Sadeghi; Mohammad Taghi Joghataei; Ali Shahbazi; Seyed Hassan Tonekaboni; Hale Akrami; Mohammad Ali Nazari
Journal:  Exp Brain Res       Date:  2022-07-25       Impact factor: 2.064

2.  Functional near-infrared spectroscopy to assess sensorimotor cortical activity during hand squeezing and ankle dorsiflexion in individuals with and without bilateral and unilateral cerebral palsy.

Authors:  Theresa Sukal-Moulton; Ana C de Campos; Katharine E Alter; Diane L Damiano
Journal:  Neurophotonics       Date:  2020-10-06       Impact factor: 3.593

  2 in total

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