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Exploring brain glucose metabolic patterns in cognitively normal adults at risk of Alzheimer's disease: A cross-validation study with Chinese and ADNI cohorts.

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机构： [1]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China [2]Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, [3]School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China [4]School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China [5]Measurement Technology and Instrumentation Key Lab of Hebei Province, Qinhuangdao 066004, China [6]School of Biomedical Engineering, Hainan University, Haikou 570228, China [7]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing 100053, China [8]National Clinical Research Center for Geriatric Diseases, Beijing 100053, China

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关键词： Alzheimer’s disease FDG PET SSM PCA Cognitively normal

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Disease-related metabolic brain patterns have been verified for a variety of neurodegenerative diseases including Alzheimer's disease (AD). This study aimed to explore and validate the pattern derived from cognitively normal controls (NCs) in the Alzheimer's continuum.This study was based on two cohorts; one from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the other from the Sino Longitudinal Study on Cognitive Decline (SILCODE). Each subject underwent [18F]fluoro-2-deoxyglucose positron emission tomography (PET) and [18F]florbetapir-PET imaging. Participants were binary-grouped based on β-amyloid (Aβ) status, and the positivity was defined as Aβ+. Voxel-based scaled subprofile model/principal component analysis (SSM/PCA) was used to generate the "at-risk AD-related metabolic pattern (ARADRP)" for NCs. The pattern expression score was obtained and compared between the groups, and receiver operating characteristic curves were drawn. Notably, we conducted cross-validation to verify the robustness and correlation analyses to explore the relationships between the score and AD-related pathological biomarkers.Forty-eight Aβ+ NCs and 48 Aβ- NCs were included in the ADNI cohort, and 25 Aβ+ NCs and 30 Aβ- NCs were included in the SILCODE cohort. The ARADRPs were identified from the combined cohorts and the two separate cohorts, characterized by relatively lower regional loadings in the posterior parts of the precuneus, posterior cingulate, and regions of the temporal gyrus, as well as relatively higher values in the superior/middle frontal gyrus and other areas. Patterns identified from the two separate cohorts showed some regional differences, including the temporal gyrus, basal ganglia regions, anterior parts of the precuneus, and middle cingulate. Cross-validation suggested that the pattern expression score was significantly higher in the Aβ+ group of both cohorts (p < 0.01), and contributed to the diagnosis of Aβ+ NCs (with area under the curve values of 0.696-0.815). The correlation analysis revealed that the score was related to tau pathology measured in cerebrospinal fluid (p-tau: p < 0.02; t-tau: p < 0.03), but not Aβ pathology assessed with [18F]florbetapir-PET (p > 0.23).ARADRP exists for NCs, and the acquired pattern expression score shows a certain ability to discriminate Aβ+ NCs from Aβ- NCs. The SSM/PCA method is expected to be helpful in the ultra-early diagnosis of AD in clinical practice.Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

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出版当年[2021]版：

大类 | 2 区医学

小类 | 2 区神经成像

最新[2023]版：

大类 | 2 区医学

小类 | 2 区神经成像

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出版当年[2020]版：

Q2 NEUROIMAGING

最新[2023]版：

Q2 NEUROIMAGING

影响因子： 3.4 最新[2023版] 4.3 最新五年平均 4.881 出版当年[2020版] 5.302 出版当年五年平均 4.35 出版前一年[2019版] 4.891 出版后一年[2021版]

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第一作者机构： [1]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China

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通讯机构： [1]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China [2]Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, [6]School of Biomedical Engineering, Hainan University, Haikou 570228, China [7]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing 100053, China [8]National Clinical Research Center for Geriatric Diseases, Beijing 100053, China [*1]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China [*2]School of Information and Communication Engineering, Shanghai University, Shanghai, 200444, China [*3]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China

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Exploring brain glucose metabolic patterns in cognitively normal adults at risk of Alzheimer's disease: A cross-validation study with Chinese and ADNI cohorts.

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