Classifying early and late mild cognitive impairment stages of Alzheimer’s disease by fusing default mode networks extracted with multiple seeds

Classifying early and late mild cognitive impairment stages of Alzheimer’s disease by fusing default mode networks extracted with multiple seeds

Abstract Background The default mode network (DMN) in resting state has been increasingly used in disease diagnosis since it was found in 2001. Prior work has mainly focused on extracting a single DMN with various techniques. However, by using seeding-based analysis with more than one desirable seed...

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Bibliographic Details
Main Authors: Shengbing Pei, Jihong Guan, Shuigeng Zhou
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Default mode network
Seeding-based analysis
Joint independent component analysis
Classification
Alzheimer’s disease
Online Access:http://link.springer.com/article/10.1186/s12859-018-2528-0

Internet

http://link.springer.com/article/10.1186/s12859-018-2528-0

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