ArticleScientific reports2019
Critical synchronization and 1/f noise in inhibitory/excitatory rich-club neural networks.
Article in Scientific reports, 2019. 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.
- Unveiling synchronization transitions in networks of coupled oscillators through persistent homology of local structures.Scientific reports · 2025Article
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- Multiscale Simplicial Complex Entropy Analysis of Heartbeat Dynamics.Entropy (Basel, Switzerland) · 2025Article
- Comparative EEG study of neurodynamics upon olfactory stimulation in COVID-19 patients.Frontiers in human neuroscience · 2025Article
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- Statistical Interdependence between Daily Precipitation and Extreme Daily Temperature in Regions of Mexico and Colombia.Entropy (Basel, Switzerland) · 2024Article
- The significance of structural rich club hubs for the processing of hierarchical stimuli.Human brain mapping · 2024Article
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2 authors.
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Abstract
In recent years, diverse studies have reported that different brain regions, which are internally densely connected, are also highly connected to each other. This configuration seems to play a key role in integrating and interchanging information between brain areas. Also, changes in the rich-club connectivity and the shift from inhibitory to excitatory behavior of hub neurons have been associated with several diseases. However, there is not a clear understanding about the role of the proportion of inhibitory/excitatory hub neurons, the dynamic consequences of rich-club disconnection, and hub inhibitory/excitatory shifts. Here, we study the synchronization and temporal correlations in the neural Izhikevich model, which comprises excitatory and inhibitory neurons located in a scale-free hierarchical network with rich-club connectivity. We evaluated the temporal autocorrelations and global synchronization dynamics displayed by the system in terms of rich-club connectivity and hub inhibitory/excitatory population. We evaluated the synchrony between pairs of sets of neurons by means of the global lability synchronization, based on the rate of change in the total number of synchronized signals. The results show that for a wide range of excitatory/inhibitory hub ratios the network displays 1/f dynamics with critical synchronization that is concordant with numerous health brain registers, while a network configuration with a vast majority of excitatory hubs mostly exhibits short-term autocorrelations with numerous large avalanches. Furthermore, rich-club connectivity promotes the increase of the global lability of synchrony and the temporal persistence of the system.
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