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Disrupted Small-World Brain Networks in Moderate Alzheimer's Disease: A Resting-State fMRI Study
Open accessAbstract
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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“Clinical studies of patients with AD have demonstrated higher characteristic path lengths of DTI- or fMRI-based connectomes (Lo et al., 2010; Wang et al., 2012; Zhao et al., 2012).”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Zhao et al., 2012
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Metadata
- Authors
- Zhao, X., Liu, Y., Wang, X., Liu, B., Xi, Q., Guo, Q., Jiang, H., Jiang, T., & Wang, P.
- Affiliations
- Tongji University (CN)
- Chinese Academy of Sciences (CN)
- Shanghai Medical College of Fudan University (CN)
- University of Electronic Science and Technology of China (CN)
- Corresponding author
- Jiang, Tianzi
- Wang, Peijun
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-03-23
- Volume
- 7
- Issue
- 3
- Pages
- e33540
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3311642
- OpenAlex
- W2003131754
- Cited by
- 215
- References
- 95
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 9 · 2023: 9 · 2022: 9 · 2021: 24 · 2020: 16 · 2019: 17 · 2018: 24 · 2017: 21 · 2016: 21 · 2015: 19 · 2014: 16 · 2013: 16 · 2012: 3
- FWCI
- 8.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- National Natural Science Foundation of China (30770615, 30970818, 863 Program, 60831004, 2011CBA00408, 30970770)
- National High-tech Research and Development Program
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- Alzheimer's disease, small-world networks, functional brain networks, network topology, local efficiency, global efficiency, default mode network, temporal lobe, subcortical structures, APOE genotype, resting-state fMRI
- MeSH terms
- Aged, Alzheimer Disease, Apolipoproteins E, Brain, Female, Genotype, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Case-Control Studies
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