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Brain Network Alterations in Alzheimer’s Disease Identified by Early-Phase PIB-PET

机译:早期PIB-PET确定阿尔茨海默病的脑网络改变

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摘要

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 differentiating 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 differences in the corrected brain networks between AD and CN, and between MCI and CN. Our study identified 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-specific 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. The group comparisons revealed similar spatial patterns of the brain networks derived from the 11C-pPIB and 18F-FDG data. Our findings indicate that 11C-pPIB derived from the early-phase 11C-PIB could provide complementary information for 18F-FDG examination in AD.
机译:本研究的目的是从早期11C-PIB(灌注PIB,PPIB)数据中识别脑网络,并比较患者患者患者的脑网络(AD),以认知正常受试者(CN)和轻度CN认知患者(MCI)受损。四十名参与者(14 CN,12 MCI和14个AD)接受了11C-PIB和18F-FDG PET / CT扫描。并行独立分量分析(PICA)用于识别来自11C-PPIB和18F-FDG数据的相关性脑网络,并且使用两个样本T检验来评估AD和CN之间校正的脑网络中的组差异,在MCI和CN之间。我们的研究确定了灌注(早期11C-PIB)的脑网络,其与葡萄糖代谢(18F-FDG)脑网络高度相关,并在广告特异性神经变性队列中与默认模式网络(DMN)结合。特别是,降低18F-FDG摄取与DMN的正面,顶叶和颞区的下降区域脑血流有关。该组比较揭示了来自11C-PPIB和18F-FDG数据的脑网络的类似空间模式。我们的研究结果表明,从早期11C-PIB衍生的11C-PPIB可以提供AD中的18F-FDG检查的互补信息。

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