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Abstract #4264

Parkinson's disease related pattern from resting state fMRI

An Vo 1 , Wataru Sako 1 , Frank M Skidmore 2 , David Eidelberg 1 , and Aziz M Ulug 1,3

1 Center for Neurosciences, Feinstein Institute for Medical Research, Manhasset, New York, United States, 2 Neurology, University of Alabama, Alabama, United States, 3 Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey

The purpose of this study is using rsfMRI to determine affected brain networks in PD. rsfMRI were analyzed using spatial group independent component analysis. Thirteen ICs representing independent contributions from cerebellum, thalamus, SMA, and from premotor/prefrontal and parietal cortex, superior frontal gyrus achieved maximum between-group separation. PD pattern was obtained by a linear combination of these thirteen components using estimated parameters of linear regression model. Subject scores representing the mean expression of the PD-related pattern were abnormally elevated in the PD patients and the RBD as well. A trend toward reduced network expression with treatment was seen and a significant correlation was observed between the levodopa-mediated changes in PDRP expression and baseline measurements of network activity in this dataset.

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