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基于fmri轻度认知障碍默认模式的网络解码

fMRI-based decoding of the modified default-mode network in mild cognitive impairment
课程网址: http://videolectures.net/fmri06_theis_fbdmd/  
主讲教师: Fabian Theis
开课单位: 德国环境卫生研究中心
开课时间: 2007-02-25
课程语种: 英语
中文简介:
迄今为止,用于检测阿尔茨海默氏病早期阶段(一种进行性神经退行性疾病)的诊断工具一直缺乏。 FDG PET(氟脱氧葡萄糖正电子发射断层扫描)显示预先痴呆的脑中的代谢减少区域,即患有轻度认知障碍(MCI)的患者。减少的活动可能归因于大脑静息或默认模式网络的连接中断[1]。在本文中,我们使用盲信号处理框架研究这种网络的检测,盲信号处理是一种利用源特征(如统计独立性或稀疏性)识别多变量混合物中隐藏源的技术。将结果与FDG PET数据进行比较。
课程简介: The diagnostic tool to detect early stages of Alzheimer’s Disease, a progressive neurodegenerative disease, is lacking until today. FDG-PET (Fluorodeoxyglucose-Positron Emission Tomography) shows hypometabolic areas in the brains of pre-demented, i.e. patients suffering from mild cognitive impairment (MCI). The reduced activity may be attributed to disrupted connectivity of the resting-, or default-mode network of the brain [1]. In this contribution, we study the detection of such a network using the framework of blind signal processing, a technique to identify hidden sources within a multivariate mixture using source characteristics such as statistical independence or sparseness. The results are compared to FDG-PET data.
关 键 词: 阿尔茨海默氏病; 诊断工具; 预先痴呆
课程来源: 视频讲座网
最后编审: 2019-04-14:cwx
阅读次数: 34