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.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
