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Abstract #0177

Atlas-Based Quantification of Diffusion Tensor Imaging (DTI) and Resting-State Functional MRI (Rs-FMRI) in Children with Cerebral Palsy (CP)

Shoko Yoshida1, Andreia V. Faria2, Diane L. Damiano3, Chunxiao Zhou4, Alexander Hoon5, Elaine Stashinko5, Kenichi Oishi1, James J. Pekar, 16, Susumu Mori1, 6

1The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States; 2The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States; 3National Institutes of Health, Bethesda, MD, United States; 4Rehabilitation Medicine Department, National Institutes of Health, Bethesda, MD, United States; 5Division of Neurology and Developmental Medicine, Kennedy Krieger Institute, Baltimore, MD, United States; 6F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

The anatomical heterogeneity of cerebral palsy (CP) makes systematic anatomy-function evaluation difficult. We used atlas-based analysis of MP-RAGE, DTI, and resting-state functional MRI (rs-fMRI) data, followed by principal component analysis of image-derived outcome measures, to rize differences between children with CP and neurotypical children. This revealed changes in deep white matter, ventricles, and thalamus which segregated CP and neurotypical children in the MP-RAGE and DTI data, and a general reduction in inter-parcel correlation in the rs-fMRI data, along with more scattered distributions in CP. This approach may allow more detailed anatomy-function evaluation in CP.

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Keywords

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