Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Joint Modeling of Imaging and Clinical Data

机译：使用成像和临床数据的联合模型预测纯遗忘性轻度认知障碍向阿尔茨海默氏病的转化

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Predicting the conversion of amnestic mild cognitive impairment (aMCI) to Alzheimer's disease (AD) is a challenging problem for which machine learning could be of great use. In this work, we aim at assessing the independent and joint value of imaging (structural MRI, resting-state functional MRI (rsfMRI)) and clinical data in classifying stable versus progressive aMCI. Surprisingly, we found no previous studies using rsfMRI to predict conversion of MCI to AD. We use singular value decomposition as a feature extractor before combining modalities. We reach accuracies of up to 82% using rsfMRI, 86% using sMRI and rsfMRI combined, and 77% using a combination of all modalities.

机译：预测遗忘性轻度认知障碍（aMCI）向阿尔茨海默氏病（AD）的转化是一个具有挑战性的问题，对于机器学习而言，这可能是一个很有用的方法。在这项工作中，我们旨在评估影像学（结构性MRI，静息状态功能性MRI（rsfMRI））和临床数据的独立和联合价值，以对稳定与进行性aMCI进行分类。令人惊讶的是，我们没有发现以前使用rsfMRI预测MCI向AD转化的研究。在组合模态之前，我们将奇异值分解用作特征提取器。结合使用rsfMRI，我们可以达到高达82％的准确度，结合使用sMRI和rsfMRI，可以达到86％的准确度，而结合使用所有模式的准确度最高可以达到77％。

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《International Workshop on Pattern Recognition in Neuroimaging》|2015年|85-88|共4页
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Kebets V.; Richiardi J.; Assche M.van; Goldstein R.; Meulen M.van der; Vuilleumier P.; Ville D.Van de; Assal F.;
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Alzheimer's disease; amnestic mild cognitive impairment; machine learning; magnetic resonance imaging; singular value decomposition;

机译：阿尔茨海默氏病;轻度遗忘性认知障碍;机器学习;磁共振成像;奇异值分解;

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1. CLINICAL, COGNITIVE AND GENETIC PREDICTORS OF CONVERSION FROM AMNESTIC MILD COGNITIVE IMPAIRMENT TO ALZHEIMER'S DISEASE IN CHINESE OLDER ADULTS [J] . L Chu W Mok C Chung P Yik The Gerontologist . 2008,第s2期

机译：从失忆性轻度认知障碍到老年痴呆症的转化的临床，认知和遗传预测
2. Amnestic mild cognitive impairment: structural MR imaging findings predictive of conversion to Alzheimer disease. [J] . Karas G, Sluimer J, Goekoop R, AJNR. American journal of neuroradiology . 2008,第5期

机译：遗忘性轻度认知功能障碍：结构性MR影像学发现可预测转变为阿尔茨海默氏病。
3. Amnestic Mild Cognitive Impairment: Structural MR Imaging Findings Predictive of Conversion to Alzheimer Disease [J] . G. Karasabc J. Sluimerabc R. Goekoopbc W. van der Flierc S.A.R.B. Romboutsfgh H. Vrenkenab P. Scheltenscd N. Foxe and F. Barkhofabc American Journal of Neuroradiology . 2008,第5期

机译：轻度轻度认知障碍：结构性MR成像发现可预测转变为阿尔茨海默氏病
4. Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Joint Modeling of Imaging and Clinical Data [C] . Kebets V., Richiardi J., Assche M.van, International Workshop on Pattern Recognition in Neuroimaging . 2015

机译：使用成像和临床数据的联合建模预测纯Amnestic认知障碍转化对阿尔茨海默病
5. Using Multimodal Imaging to Examine Clinical and Cognitive Correlates of Mild Cognitive Impairment and Alzheimer's Disease [D] . Chung, Jun Ku. 2018

机译：使用多模态成像检查轻度认知障碍和阿尔茨海默氏病的临床和认知相关性
6. Anxiety symptoms in amnestic mild cognitive impairment are associated with medial temporal atrophy and predict conversion to Alzheimers disease [O] . Linda Mah, Malcolm A. Binns, David C. Steffens -1

机译：遗忘性轻度认知障碍中的焦虑症状与内侧颞萎缩相关并预测会转变为阿尔茨海默氏病
7. Amnestic mild cognitive impairment: structural MR imaging findings predictive of conversion to Alzheimer disease [O] . Karas, G., Sluimer, J.D., Goekoop, R., 2008

机译：遗忘性轻度认知障碍：结构性MR影像学发现可预测转变为阿尔茨海默氏病

Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Joint Modeling of Imaging and Clinical Data

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