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.