ArticlePloS one2013
Whole-brain functional networks in cognitively normal, mild cognitive impairment, and Alzheimer's disease.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.
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Who cites it
82 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain network disintegration as a final common pathway for delirium: a systematic review and qualitative meta-analysis.NeuroImage. Clinical · 2019Pooled it
- Influence of APOE genotype on whole-brain functional networks in cognitively normal elderly.PloS one · 2013Trial
- An interpretable deep learning diagnostic framework for early Alzheimer's disease based on EEG microstate spectra and multi-branch CNN.Journal of neuroengineering and rehabilitation · 2026Article
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- Sex-dependent grey matter atrophy in Alzheimer's disease progression.Brain communications · 2026Article
- The plasticity of olfactory learning in culinary students and matched controls.Brain imaging and behavior · 2025Article
- Neuromark PET: A multivariate method for estimating whole brain fMRI guided intrinsic networks and connectomes from fMRI and PET data.bioRxiv : the preprint server for biology · 2025Article
- Altered Default Mode Network Connectivity in Mild Cognitive Impairment: Insights from Resting-State fMRI Studies.Current Alzheimer research · 2025Review
- Jointly constrained group sparse connectivity representation improves early diagnosis of Alzheimer's disease on routinely acquired T1-weighted imaging-based brain network.Health information science and systems · 2024Article
- Global changes in the pattern of connectivity in developmental prosopagnosia.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- The brain network hub degeneration in Alzheimer's disease.Biophysics reports · 2024Article
- Hub overload and failure as a final common pathway in neurological brain network disorders.Network neuroscience (Cambridge, Mass.) · 2024Review
- A 3D pseudo-continuous arterial spin labeling study of altered cerebral blood flow correlation networks in mild cognitive impairment and Alzheimer's disease.Frontiers in aging neuroscience · 2024Article
- Elevating understanding: Linking high-altitude hypoxia to brain aging through EEG functional connectivity and spectral analyses.Network neuroscience (Cambridge, Mass.) · 2024Article
- Cognitive Normal Older Adults with APOE-2 Allele Show a Distinctive Functional Connectivity Pattern in Response to Cerebral Aβ Deposition.International journal of molecular sciences · 2023Article
- Accumulation of network redundancy marks the early stage of Alzheimer's disease.Human brain mapping · 2023Article
- Resting-state electroencephalographic characteristics related to mild cognitive impairments.Frontiers in psychiatry · 2023Article
- Connectomic analysis of Alzheimer's disease using percolation theory.Network neuroscience (Cambridge, Mass.) · 2022Article
- Disrupted stepwise functional brain organization in overweight individuals.Communications biology · 2022Article
- Increased functional connectivity patterns in mild Alzheimer's disease: A rsfMRI study.Frontiers in aging neuroscience · 2022Article
22 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The conceptual significance of understanding functional brain alterations and cognitive deficits associated with Alzheimer's disease (AD) process has been widely established. However, the whole-brain functional networks of AD and its prodromal stage, mild cognitive impairment (MCI), are not well clarified yet. In this study, we compared the characteristics of the whole-brain functional networks among cognitively normal (CN), MCI, and AD individuals by applying graph theoretical analyses to [(18)F] fluorodeoxyglucose positron emission tomography (FDG-PET) data. Ninety-four CN elderly, 183 with MCI, and 216 with AD underwent clinical evaluation and FDG-PET scan. The overall small-world property as seen in the CN whole-brain network was preserved in MCI and AD. In contrast, individual parameters of the network were altered with the following patterns of changes: local clustering of networks was lower in both MCI and AD compared to CN, while path length was not different among the three groups. Then, MCI had a lower level of local clustering than AD. Subgroup analyses for AD also revealed that very mild AD had lower local clustering and shorter path length compared to mild AD. Regarding the local properties of the whole-brain networks, MCI and AD had significantly decreased normalized betweenness centrality in several hubs regionally associated with the default mode network compared to CN. Our results suggest that the functional integration in whole-brain network progressively declines due to the AD process. On the other hand, functional relatedness between neighboring brain regions may not gradually decrease, but be the most severely altered in MCI stage and gradually re-increase in clinical AD stages.
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