Author/Authors :
Fu, Liping Department of Nuclear Medicine - General Hospital of the Chinese People’s Liberation Army - Beijing, China , Liu, Linwen Chinese Academy of Sciences - 95 Zhongguancun East Road - Beijing, China , Zhang, Jinming Department of Nuclear Medicine - General Hospital of the Chinese People’s Liberation Army - Beijing, China , Xu, Baixuan Department of Nuclear Medicine - General Hospital of the Chinese People’s Liberation Army - Beijing, China , Fan, Yong Department of Radiology - Perelman School of Medicine - University of Pennsylvania - Philadelphia, USA , Tian, Jiahe Department of Nuclear Medicine - General Hospital of the Chinese People’s Liberation Army - Beijing, China
Abstract :
The aim of this study was to identify the brain networks from early-phase 11C-PIB (perfusion PIB, pPIB) data and to compare
the brain networks of patients with diferentiating Alzheimer’s disease (AD) with cognitively normal subjects (CN) and of mild
cognitively impaired patients (MCI) with CN. Forty participants (14 CN, 12 MCI, and 14 AD) underwent 11C-PIB and 18F-FDG
PET/CT scans. Parallel independent component analysis (pICA) was used to identify correlated brain networks from the 11C-pPIB
and 18F-FDG data, and a two-sample t-test was used to evaluate group diferences in the corrected brain networks between AD
and CN, and between MCI and CN. Our study identifed a brain network of perfusion (early-phase 11C-PIB) that highly correlated
with a glucose metabolism (18F-FDG) brain network and colocalized with the default mode network (DMN) in an AD-specifc
neurodegenerative cohort. Particularly, decreased 18F-FDG uptake correlated with a decreased regional cerebral blood flow in the
frontal, parietal, and temporal regions of the DMN. Tاe group comparisons revealed similar spatial patterns of the brain networks
derived from the 11C-pPIB and 18F-FDG data. Our fndings indicate that 11C-pPIB derived from the early-phase 11C-PIB could
provide complementary information for 18F-FDG examination in AD.
