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Brain Network Alterations in Alzheimers Disease Identified by Early-Phase PIB-PET

机译:早期PIB-PET识别的阿尔茨海默病脑网络变化

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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:这项研究的目的是从早期 11 C-PIB(灌注PIB,pPIB)数据中识别出大脑网络,并将具有区分阿尔茨海默氏病(AD)和认知能力的患者的大脑网络进行比较正常受试者(CN)和轻度认知障碍患者(MCI)的CN。 40名参与者(14 CN,12 MCI和14 AD)接受了 11 C-PIB和 18 F-FDG PET / CT扫描。平行独立成分分析(pICA)用于从 11 C-pPIB和 18 F-FDG数据中识别相关的大脑网络,并进行了两个样本的t检验用于评估AD和CN之间以及MCI和CN之间校正后的大脑网络中的组差异。我们的研究确定了一个与葡萄糖代谢( 18 F-FDG)高度相关并且与该代谢物共定位的脑灌注网络(早期 11 C-PIB)。 AD特定神经退行性队列中的默认模式网络(DMN)。特别是, 18 F-FDG摄取减少与DMN额叶,顶叶和颞叶区域脑血流量减少有关。小组比较揭示了从 11 C-pPIB和 18 F-FDG数据得出的相似的大脑网络空间格局。我们的发现表明,早期 11 C-PIB衍生的 11 C-pPIB可以为 18 F-FDG检查提供补充信息广告。

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