ArticleNetwork neuroscience (Cambridge, Mass.)2019
Disrupted core-periphery structure of multimodal brain networks in Alzheimer's disease.
Article in Network neuroscience (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Altered EEG-derived functional brain states in Parkinson's disease with mild cognitive impairment.Brain communications · 2026Article
- Advancements in the investigation of the mechanisms underlying cognitive aging.Biogerontology · 2025Review
- Challenges and opportunities for digital twins in precision medicine from a complex systems perspective.NPJ digital medicine · 2025Review
- More Than the Sum of Its Parts: Disrupted Core Periphery of Multiplex Brain Networks in Multiple Sclerosis.Human brain mapping · 2025Article
- The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairment.Neurobiology of aging · 2024Article
- The impact of aging on human brain network target controllability.Brain structure & function · 2022Article
- Multiplex Connectome Changes across the Alzheimer's Disease Spectrum Using Gray Matter and Amyloid Data.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Applying multilayer analysis to morphological, structural, and functional brain networks to identify relevant dysfunction patterns.Network neuroscience (Cambridge, Mass.) · 2022Article
- Persistence of information flow: A multiscale characterization of human brain.Network neuroscience (Cambridge, Mass.) · 2021Article
- The structural architecture of international industry networks in the global economy.PloS one · 2021Article
- Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain.Frontiers in neuroinformatics · 2021Review
- Disrupted core-periphery structure of multimodal brain networks in Alzheimer's disease.Network neuroscience (Cambridge, Mass.) · 2019Article
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Authors and funding
10 authors.
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Abstract
In Alzheimer's disease (AD), the progressive atrophy leads to aberrant network reconfigurations both at structural and functional levels. In such network reorganization, the core and peripheral nodes appear to be crucial for the prediction of clinical outcome because of their ability to influence large-scale functional integration. However, the role of the different types of brain connectivity in such prediction still remains unclear. Using a multiplex network approach we integrated information from DWI, fMRI, and MEG brain connectivity to extract an enriched description of the core-periphery structure in a group of AD patients and age-matched controls. Globally, the regional coreness-that is, the probability of a region to be in the multiplex core-significantly decreased in AD patients as result of a random disconnection process initiated by the neurodegeneration. Locally, the most impacted areas were in the core of the network-including temporal, parietal, and occipital areas-while we reported compensatory increments for the peripheral regions in the sensorimotor system. Furthermore, these network changes significantly predicted the cognitive and memory impairment of patients. Taken together these results indicate that a more accurate description of neurodegenerative diseases can be obtained from the multimodal integration of neuroimaging-derived network data.
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