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Functional disorganization of small-world brain networks in mild Alzheimer's Disease and amnestic Mild Cognitive Impairment: an EEG study using Relative Wavelet Entropy (RWE)

Overview of attention for article published in Frontiers in Aging Neuroscience, August 2014
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Functional disorganization of small-world brain networks in mild Alzheimer's Disease and amnestic Mild Cognitive Impairment: an EEG study using Relative Wavelet Entropy (RWE)
Published in
Frontiers in Aging Neuroscience, August 2014
DOI 10.3389/fnagi.2014.00224
Pubmed ID
Authors

Christos A. Frantzidis, Ana B. Vivas, Anthoula Tsolaki, Manousos A. Klados, Magda Tsolaki, Panagiotis D. Bamidis

Abstract

Previous neuroscientific findings have linked Alzheimer's Disease (AD) with less efficient information processing and brain network disorganization. However, pathological alterations of the brain networks during the preclinical phase of amnestic Mild Cognitive Impairment (aMCI) remain largely unknown. The present study aimed at comparing patterns of the detection of functional disorganization in MCI relative to Mild Dementia (MD). Participants consisted of 23 cognitively healthy adults, 17 aMCI and 24 mild AD patients who underwent electroencephalographic (EEG) data acquisition during a resting-state condition. Synchronization analysis through the Orthogonal Discrete Wavelet Transform (ODWT), and directional brain network analysis were applied on the EEG data. This computational model was performed for networks that have the same number of edges (N = 500, 600, 700, 800 edges) across all participants and groups (fixed density values). All groups exhibited a small-world (SW) brain architecture. However, we found a significant reduction in the SW brain architecture in both aMCI and MD patients relative to the group of Healthy controls. This functional disorganization was also correlated with the participant's generic cognitive status. The deterioration of the network's organization was caused mainly by deficient local information processing as quantified by the mean cluster coefficient value. Functional hubs were identified through the normalized betweenness centrality metric. Analysis of the local characteristics showed relative hub preservation even with statistically significant reduced strength. Compensatory phenomena were also evident through the formation of additional hubs on left frontal and parietal regions. Our results indicate a declined functional network organization even during the prodromal phase. Degeneration is evident even in the preclinical phase and coexists with transient network reorganization due to compensation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 <1%
Germany 1 <1%
Unknown 141 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 22%
Researcher 26 18%
Student > Master 19 13%
Student > Bachelor 12 8%
Student > Doctoral Student 8 6%
Other 26 18%
Unknown 21 15%
Readers by discipline Count As %
Neuroscience 30 21%
Engineering 19 13%
Psychology 16 11%
Medicine and Dentistry 14 10%
Computer Science 11 8%
Other 16 11%
Unknown 37 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 September 2016.
All research outputs
#6,223,074
of 22,759,618 outputs
Outputs from Frontiers in Aging Neuroscience
#2,393
of 4,749 outputs
Outputs of similar age
#60,749
of 236,348 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#33
of 85 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,749 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 236,348 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.