Directed functional networks in alzheimer's disease: Disruption of global and local connectivity measures

Afshari, S and Jalili, M 2017, 'Directed functional networks in alzheimer's disease: Disruption of global and local connectivity measures', IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 4, pp. 949-955.


Document type: Journal Article
Collection: Journal Articles

Title Directed functional networks in alzheimer's disease: Disruption of global and local connectivity measures
Author(s) Afshari, S
Jalili, M
Year 2017
Journal name IEEE Journal of Biomedical and Health Informatics
Volume number 21
Issue number 4
Start page 949
End page 955
Total pages 7
Publisher IEEE
Abstract Techniques available in graph theory can be applied to signals recorded from human brain. In network analysis of EEG signals, the individual nodes are EEG sensor locations and the edges correspond to functional relations between them that are extracted from EEG time series. In this work, we study EEG-based directed functional networks in Alzheimer's disease (AD). To this end, directed connectivity matrices of 25 AD patients and 26 healthy subjects are processed and a number of neurophysiologically meaningful graph theory metrics are studied. Our data show that functional networks of AD brains have significantly reduced global connectivity in alpha and beta bands (P < 0.05). The AD brains have significantly higher local connectivity than healthy controls in alpha and beta bands. This decreased profile in global connectivity can be linked to compensatory increased local connectivity as a result of widespread decline in the long-range connections. We also study resiliency of brain networks against targeted attack to hub nodes and find that AD networks are less resilient than healthy brains in alpha and beta bands.
Subject Dynamical Systems in Applications
Complex Physical Systems
Keyword(s) Alzheimers disease (AD)
directed connectivity
EEG
global and local efficiency
graph theory
DOI - identifier 10.1109/JBHI.2016.2578954
Copyright notice © 2016 IEEE
ISSN 2168-2194
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