The Department of Genetic Medicine at Weill Cornell leads a dynamic and innovative translational research program, advancing diverse fields such as Genetic Therapy and Personalized Medicine.
Our translational research program aims to leverage our expertise in genetic therapies and personalized medicine to develop clinical solutions that target the molecular causes of human diseases.
The Department of Genetic Medicine advances treatments and diagnostics through diverse clinical trials, including drug testing and research to better understand diseases.
The Department of Genetic Medicine at Weill Cornell leads a dynamic and innovative translational research program, advancing diverse fields such as Genetic Therapy and Personalized Medicine.
Our translational research program aims to leverage our expertise in genetic therapies and personalized medicine to develop clinical solutions that target the molecular causes of human diseases.
The Department of Genetic Medicine advances treatments and diagnostics through diverse clinical trials, including drug testing and research to better understand diseases.
Ma Y, Huang C, Dyke J, Pan H, Alsop D, Feigin A, Eidelberg D
Journal
J Cereb Blood Flow Metab
Volume
30
Issue
3
Pagination
505-9
Date Published
01/06/2010
ISSN
1559-7016
Keywords
Parkinson Disease
Abstract
Parkinson's disease (PD) is associated with elevated expression of a specific disease-related spatial covariance pattern (PDRP) in radiotracer scans of cerebral blood flow and metabolism. In this study, we scanned nine early-stage patients with PD and nine healthy controls using continuous arterial spin labeling (CASL) perfusion magnetic resonance imaging (pMRI). Parkinson's disease-related metabolic pattern expression in CASL pMRI scans was compared with the corresponding (18)F-fluorodeoxyglucose positron emission tomography values. The PDRP expression was abnormally elevated (P<0.01) in patients scanned with either modality, and the two values were highly intercorrelated (P<0.0001). Perfusion MRI methods can be used for accurate quantification of disease-related covariance patterns.