The Identification of Alzheimer's Disease Using Functional Connectivity Between Activity Voxels in Resting-State fMRI Data.

IEEE Journal of Translational Engineering in Health and Medicine(2020)

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摘要
Background: Alzheimer's disease (AD) is a common neurodegenerative disease occurring in the elderly population. The effective and accurate classification of AD symptoms by using functional magnetic resonance imaging (fMRI) has a great significance for the clinical diagnosis and prediction of AD patients. Methods: Therefore, this paper proposes a new method for identifying AD patients from healthy ...
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关键词
Functional magnetic resonance imaging,Support vector machines,Integrated circuits,Dementia,Feature extraction,Independent component analysis
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