Tracy R. Melzer1,2, Richard Watts, 1,3, Michael R. MacAskill1,2, Ross Keenan4, Ajit Shankaranarayanan5, David C. Alsop6, Charlotte Graham1,2, Leslie Livingston1, John C. Dalrymple-Alford, 1,7, Tim J. Anderson1,2
1Van der Veer Institute for Parkinson's and Brain Research, Christchurch, New Zealand; 2Medicine, University of Otago, Christchurch, New Zealand; 3Physics and Astronomy, University of Canterbury, Christchurch, New Zealand; 4Christchurch Radiology Group, Christchurch, New Zealand; 5GE Healthcare, Menlo Park, CA, United States; 6Beth Israel Deaconess Medical Center, Boston, MA, United States; 7Pyschology, University of Canterbury, Christchurch, New Zealand
Pseudo-continuous ASL was used to investigate cerebral blood flow in 44 Parkinsons disease (PD) patients and 26 controls. Principal component analysis produced a set of covariance patterns which were used to form a perfusion network that successfully distinguished PD from control. The PD-related network was characterized by decreased perfusion in PD versus controls in bilateral posterior parietal-occipital regions, posterior medial cortices, precentral and bilateral middle frontal gyri, and left caudate. Preserved perfusion occurred in bilateral globus pallidus. This ASL-derived PD network provides a marker to objectively gauge disease severity and serves as a potential method to longitudinally track disease progression.