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Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease by Cai, Lihui; Wei, Xile; Liu, Jing; Zhu, Lin; Wang, Jiang; Deng, Bin; Yu, Haitao; Wang, Ruofan is a Neuroscience article available to read on EtoBox.

What is Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease about?

Growing evidence links impairment of brain functions in Alzheimer's disease (AD) with disruptions of brain functional connectivity. However, whether the AD brain shows similar changes from a dynamic or cross-frequency view remains poorly explored. This paper provides an effective framework to investigate the properties of multiplex brain networks in AD considering inter-frequency and temporal dynamics. Using resting-state EEG signals, two types of multiplex networks were reconstructed separately considering the network interactions between different frequency bands or time points. We further applied multiplex network features to characterize functional integration and segregation of the cross-frequency or time-varying networks. Finally, machine learning methods were employed to evaluate the performance of multiplex-network-based indexes for detection of AD. Results revealed that the brain networks of AD patients are disrupted with reduced segregation particularly in the left occipital area for both cross-frequency and time-varying networks. However, the alteration of integration differs among brain regions and may show an increasing trend in the frontal area of AD brain. By combini

Who reads Functional Integration and Segregation in Multiplex Brain Networks for Alzheimer's Disease?

Author

Cai, Lihui; Wei, Xile; Liu, Jing; Zhu, Lin; Wang, Jiang; Deng, Bin; Yu, Haitao; Wang, Ruofan

Publisher

Frontiers Media SA; Frontiers Media S.A.; Lausanne: Frontiers Media S.A., 2007- (ISSN 1662-4548)

Published

2020

Language

EN

Field

Neuroscience (Life Sciences)