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Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimers Disease: Methodology and Baseline Sample Characteristics

机译：韩国脑衰老研究对阿尔茨海默氏病的早期诊断和预测：方法学和基线样本特征

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摘要

ObjectiveThe Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's disease (KBASE) aimed to recruit 650 individuals, aged from 20 to 90 years, to search for new biomarkers of Alzheimer's disease (AD) and to investigate how multi-faceted lifetime experiences and bodily changes contribute to the brain changes or brain pathologies related to the AD process.

机译：目的进行针对阿尔茨海默氏病的早期诊断和预测的韩国脑老化研究（KBASE），旨在招募650名年龄在20至90岁之间的人，以寻找阿尔茨海默氏病（AD）的新生物标志物，并研究多方面的终身经历身体变化会导致与AD过程相关的大脑变化或大脑病理。

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期刊名称 Psychiatry Investigation
作者
Min Soo Byun; Dahyun Yi; Jun Ho Lee; Young Min Choe; Bo Kyung Sohn; Jun-Young Lee; Hyo Jung Choi; Hyewon Baek; Yu Kyeong Kim; Yun-Sang Lee; Chul-Ho Sohn; Inhee Mook-Jung; Murim Choi; Yu Jin Lee; Dong Woo Lee; Seung-Ho Ryu; Shin Gyeom Kim; Jee Wook Kim; Jong Inn Woo; Dong Young Lee;
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作者单位

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年(卷),期 2017(14),6
年度 2017
页码 851–863
总页数 13
原文格式 PDF
正文语种
中图分类精神病学;
关键词
Alzheimers disease Early diagnosis Prediction Biomarker Prospective cohort study;

机译：阿尔茨海默氏病;早期诊断;预测;生物标志物;前瞻性队列研究;

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专利

1. Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease: Methodology and Baseline Sample Characteristics [J] . Byun Min Soo, Yi Dahyun, Lee Jun Ho, Psychiatry Investigation . 2017,第6期

机译：韩国脑衰老研究对阿尔茨海默氏病的早期诊断和预测：方法学和基线样本特征
2. Association of Nutritional Status with Cognitive Stage in the Elderly Korean Population: The Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease [J] . Jang Jae-Won, Kim Yeshin, Choi Yong-Ho, Journal of Clinical Neurology . 2019,第3期

机译：营养状况与韩国老年人认知阶段的关联：韩国脑衰老研究对阿尔茨海默氏病的早期诊断和预测
3. The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease. [J] . Ellis KA, Bush AI, Darby D International psychogeriatrics . 2009,第4期

机译：澳大利亚成像，生物标志物和生活方式研究（AIBL）的衰老：为纵向研究阿尔茨海默氏病而招募的1112名个体的方法和基线特征。
4. 7 Years of Developing Seed Techniques for Alzheimer's Disease Diagnosis Using Brain Image and Connectivity Data Largely Bypassed Prediction for Prognosis [C] . Mayssa Soussia, Mem Rekik International Workshop on Predictive Intelligence In MEdicine;International Conference on Medical Image Computing and Computer Assisted Intervention . 2019

机译：使用脑图像和连接数据的7年开发用于阿尔茨海默氏病诊断的种子技术的研究大大超过了对预后的预测
5. Proteomic-based Signature of Brain-related Proteins as Novel Candidate Biomarkers for Alzheimer's Disease Diagnosis [D] . Begcevic, Ilijana. 2018

机译：基于蛋白质组学的脑相关蛋白签名作为阿尔茨海默氏病诊断的新型候选生物标志物
6. Clinical and Biomarker Characteristics According to Clinical Spectrum of Alzheimer’s Disease (AD) in the Validation Cohort of Korean Brain Aging Study for the Early Diagnosis and Prediction of AD [O] . Jihye Hwang, Jee Hyang Jeong, Soo Jin Yoon, 2019

机译：根据阿尔茨海默氏病（AD）临床谱的临床和生物标志物特征在韩国脑衰老研究队列中进行AD的早期诊断和预测
7. Association of Nutritional Status with Cognitive Stage in the Elderly Korean Population: The Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer's Disease [O] . Jae-Won Jang, Yeshin Kim, Yong-Ho Choi, 2019

机译：韩国人群认知阶段的营养状况与认知阶段的结合：韩国脑老化研究早期诊断和预测阿尔茨海默病

Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimers Disease: Methodology and Baseline Sample Characteristics

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