Reorganization of Functional Networks in Mild Cognitive Impairment

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Publication Details

Author list: Maestu F
Publisher: Public Library of Science
Publication year: 2011
Volume number: 6
Issue number: 5
Start page: e19584
Number of pages: 8
ISSN: 1932-6203
Languages: English-Great Britain (EN-GB)


Whether the balance between integration and segregation of information
in the brain is damaged in Mild Cognitive Impairment (MCI) subjects is
still a matter of debate. Here we characterize the functional network
architecture of MCI subjects by means of complex networks analysis.
Magnetoencephalograms (MEG) time series obtained during a memory task
were evaluated by synchronization likelihood (SL), to quantify the
statistical dependence between MEG signals and to obtain the functional
networks. Graphs from MCI subjects show an enhancement of the strength
of connections, together with an increase in the outreach parameter,
suggesting that memory processing in MCI subjects is associated with
higher energy expenditure and a tendency toward random structure, which
breaks the balance between integration and segregation. All features are
reproduced by an evolutionary network model that simulates the
degenerative process of a healthy functional network to that associated
with MCI. Due to the high rate of conversion from MCI to Alzheimer
Disease (AD), these results show that the analysis of functional
networks could be an appropriate tool for the early detection of both
MCI and AD.


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Last updated on 2019-13-08 at 00:45