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Disrupted Small-World Brain Networks in Moderate Alzheimer's Disease: A Resting-State fMRI Study

Overview of attention for article published in PLOS ONE, March 2012
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Title
Disrupted Small-World Brain Networks in Moderate Alzheimer's Disease: A Resting-State fMRI Study
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033540
Pubmed ID
Authors

Xiaohu Zhao, Yong Liu, Xiangbin Wang, Bing Liu, Qian Xi, Qihao Guo, Hong Jiang, Tianzi Jiang, Peijun Wang

Abstract

The small-world organization has been hypothesized to reflect a balance between local processing and global integration in the human brain. Previous multimodal imaging studies have consistently demonstrated that the topological architecture of the brain network is disrupted in Alzheimer's disease (AD). However, these studies have reported inconsistent results regarding the topological properties of brain alterations in AD. One potential explanation for these inconsistent results lies with the diverse homogeneity and distinct progressive stages of the AD involved in these studies, which are thought to be critical factors that might affect the results. We investigated the topological properties of brain functional networks derived from resting functional magnetic resonance imaging (fMRI) of carefully selected moderate AD patients and normal controls (NCs). Our results showed that the topological properties were found to be disrupted in AD patients, which showing increased local efficiency but decreased global efficiency. We found that the altered brain regions are mainly located in the default mode network, the temporal lobe and certain subcortical regions that are closely associated with the neuropathological changes in AD. Of note, our exploratory study revealed that the ApoE genotype modulates brain network properties, especially in AD patients.

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The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 2 <1%
Italy 2 <1%
Spain 2 <1%
Germany 1 <1%
China 1 <1%
Unknown 198 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 20%
Student > Master 41 20%
Researcher 34 16%
Student > Bachelor 13 6%
Student > Doctoral Student 12 6%
Other 41 20%
Unknown 27 13%
Readers by discipline Count As %
Neuroscience 41 20%
Psychology 34 16%
Medicine and Dentistry 25 12%
Engineering 20 10%
Agricultural and Biological Sciences 18 9%
Other 32 15%
Unknown 40 19%