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Small-worldness index

WebIn terms of the EEG functional network, the small-worldness index significantly reduced by 3.5% (p < 0.05) and the characteristic path length increased by 1.8% (p < 0.10) at the end of the session compared to the baseline. No obvious change was found in the seizure frequency during follow-up (p > 0.05). The Mini-Mental State Examination (MMSE ... WebHumphries and Gurney [ 34] introduced a small-worldness metric which uses the network-average clustering coefficient and path length values, relative to these metrics for random networks, to provide an overview of connectivity in the entire network.

Error and attack tolerance of small-worldness in complex networks

WebJul 1, 2011 · It is known that the small-worldness index scales linearly with the network size (Humphries & Gurney, 2008). In other words, keeping the structural parameters of a network fixed and by increasing the number of nodes the small-worldness index expressed by S also increases (Fig. 1 A). However, we found that as more hub nodes underwent an attack ... WebJun 1, 2024 · The small-world model is of special interest when describing human brain networks, because it supports efficient information segregation and integration with low … joan griffith music https://erinabeldds.com

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WebWe addressed the limits of small-world measures and defined new metric indices: the small-world efficiency (SWE) and the small-world angle (SWA), both based on the tradeoff … WebCompute the small-worldness index (Humphries & Gurney, 2008) relying on the global transitity of the network (Newman, 2003) and on its average shortest path length. Usage … WebSep 21, 2016 · As a simple scalar measure of “small-worldness,” Humphries and colleagues defined the small-world index, σ to be the ratio of the clustering coefficient (normalized by … institut thomas more

Frontiers Small Worldness in Dense and Weighted Connectomes

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Small-worldness index

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WebJul 6, 2024 · Although small-world index described by Humphries et al. is one of the most commonly used network features in brain network studies, we can find that it is not a … WebApr 15, 2024 · Such a network has a small-world index >1, including a clustering coefficient that has a ratio > 1 compared to random networks, and a characteristic path length with a ratio close to 1 that is like that of random networks. ... Corresponding small-worldness and network measures in both TTM and controls suggest brain networks that generally have ...

Small-worldness index

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WebThe small-worldness index is then computed as the transitivity (normalized by the random transitivity) over the average shortest path length (normalized by the random average shortest path length). The lo and up quantiles of the distribution of the random networks are also returned for both the transitivity and the average shortest path length. WebJul 11, 2024 · The small-worldness index has also been calculated to extract topology descriptors of brain networks to understand WM phases . These indicators are effective in assessing overall network topography but are not at local important brain regions where activities are generally associated with cognitive tasks.

WebDec 21, 2024 · Based on previous data processing, the small-worldness index (σ), clustering coefficient (γ), and characteristic path length (λ) were calculated in each frequency band … WebJan 5, 2024 · Ketamine and CP-101,606 diminished the global clustering coefficient and small-worldness index. At the nodal level, all compounds induced increased connectivity of the regions mediating reward and cognitive aspects of emotional processing, such as ventromedial prefrontal cortex, septal nuclei, and nucleus accumbens.

WebApr 18, 2015 · The small-worldness is believed to be a crucial aspect of efficient brain organization that confers significant advantages in signal processing (e.g., Lago-Fernández et al. 2000 ). WebJan 16, 2024 · In the present study, we found that the global small-worldness index was higher in the evening after the whole day of functioning, compared with the morning, regardless of the participant’s chronotype. Results on small-worldness of human brain networks in relation to time of day and participant fatigue level remain mixed and even …

WebOct 13, 2024 · The small-worldness index S provides a canonical measure of the degree to which a network is small-world. Here, we take a slightly modified version, ...

WebNational Center for Biotechnology Information joan griffith in brooklyn nyWebJul 11, 2024 · The small-worldness index has also been calculated to. extract topology descriptors of brain networks to understand. WM phases [19]. These indicators are e ... institut thos i codina mataróWebBoth density and small worldness increase rapidly starting in 2003, reaching a maximum in 2004 and decreasing rapidly, falling to zero in 2005. The observed temporal development is more pronounced for small worldness, by an order of magnitude. More specifically, the small worldness increase is about by 3000%, while the density increase is about ... institut tiffany\\u0027s yverdonWebNov 28, 2024 · From Table 5, within global topological properties three groups had a small-world connectome organisation, as the mean small-worldness index was greater than one. There were statistically significant differences in terms of small-worldness index (p = 0.004). Patients receiving chemotherapy had the lowest mean small-worldness index, … institut tiffany\u0027s yverdonWebThen the small-worldness metric, sw, is given by the ratio of Equations (12 and 13), s w = γ λ. ( 14) In a binary framework, small world networks have γ > 1 and λ ~ 1 and present a … institut tianshangWebJan 23, 2024 · The small-worldness index can simultaneously reflect the integration and segregation. Thus, small-worldness might be more sensitive than the other network measures because two measures act as variables. It can be assumed that alterations in structural covariance network with a decrease in the brain efficiency may play an … institut tianshang riomWebJul 29, 2024 · Finally, the small-worldness index (SWI) reflects the efficiency of the functional organisation of the network or graph, and is measured as the ratio between the normalised clustering coefficient ... institut tomatis bordeaux