ArticleNetwork neuroscience (Cambridge, Mass.)2020
Communicability distance reveals hidden patterns of Alzheimer's disease.
Article in Network neuroscience (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Repetitive Transcranial Magnetic Stimulation Alters Brain Communication Networks to Improve the Cognitive Function in Patients with Amnestic Mild Cognitive Impairment - A Clinical Trial.Current neuropharmacology · 2026Trial
- Quantifying edge relevance for epidemic spreading via the semi-metric topology of complex networks.Journal of physics. Complexity · 2025Article
- Unraveling the mesoscale organization induced by network-driven processes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Brain network communication: concepts, models and applications.Nature reviews. Neuroscience · 2023Review
- Altered functional connectivity and topology structures in default mode network induced by inflammatory exposure in aged rat: A resting-state functional magnetic resonance imaging study.Frontiers in aging neuroscience · 2022Article
- Persistence of information flow: A multiscale characterization of human brain.Network neuroscience (Cambridge, Mass.) · 2021Article
- Editorial: Network Communication in the Brain.Network neuroscience (Cambridge, Mass.) · 2020Article
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Abstract
The communicability distance between pairs of regions in human brain is used as a quantitative proxy for studying Alzheimer's disease. Using this distance, we obtain the shortest communicability path lengths between different regions of brain networks from patients with Alzheimer's disease (AD) and healthy cohorts (HC). We show that the shortest communicability path length is significantly better than the shortest topological path length in distinguishing AD patients from HC. Based on this approach, we identify 399 pairs of brain regions for which there are very significant changes in the shortest communicability path length after AD appears. We find that 42% of these regions interconnect both brain hemispheres, 28% connect regions inside the left hemisphere only, and 20% affect vermis connection with brain hemispheres. These findings clearly agree with the disconnection syndrome hypothesis of AD. Finally, we show that in 76.9% of damaged brain regions the shortest communicability path length drops in AD in relation to HC. This counterintuitive finding indicates that AD transforms the brain network into a more efficient system from the perspective of the transmission of the disease, because it drops the circulability of the disease factor around the brain regions in relation to its transmissibility to other regions.
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