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Small-world properties of brain network were also studied based on the brain volume divided by the AAL atlas [56].
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Besides quantification of network properties, quantification of the brain network was also affected.
Several pathological states of brain networks were also investigated, in which any disturbance of structural connectivity in neural networks could increase the probability of rewiring and reduce the functionally organized brain activity, for example, the Erdös-Rényi type networking [ 34, 45– 45].
Hubs of brain networks are also arguably biologically expensive.
In a recent study [ 32], the functional neural activity of resting brain networks was also simulated from the generalized Ising model, replacing equal spin coupling with the structural network of the human connectome.
Furthermore, our study [ 18] also showed that the graph theory metrics of the fNIRS brain network were reliable across different scanning sessions.
Nutt's team also discovered that another section of the brain known as the default mode network was also influenced by psilocybin.
In addition, the microglia priming network was also analyzed using (unsorted) brain tissue expression data.
The internal communication network was also upgraded.
A structural brain network was then constructed from the data.
Brain networks were mathematically described as graphs.
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