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Before constructing our models and because of the large heterogeneity found in connectivity, activity and burstiness across ties in social networks, we scale and normalize our variables before using them in a model.
No differences among locations were found in connectivity density, degree of anisotropy, or tissue mineral density of the subchondral trabecular bone (P > 0.10).
Therefore, differences found in connectivity between the insula and hippocampus can be related to more severe difficulties in executive functioning that are prevalent in PTSD+MDD versus PTSD-MDD.
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Reduced functional connectivity of the PTSD+MDD group versus the PTSD-MDD group was found in functional connectivity of the subgenual ACC with the bilateral thalamus (Left thalamus; 29 voxels; peak value F=25.71; peak MNI-coordinates x=-12, y=-16, z=4. Right thalamus; 16 voxels; peak value F=34.37; peak MNI-coordinates x=20, y=-12, z=4).
Significant differences were found in the genes connectivity distribution, both in normal and preeclampsia conditions pointing to the need and importance of examining connectivity alongside expression for prioritization.
Thus we find the similarities between the levels of connectivity of real social networks of animals and the optimal connectivity found in our model suggestive. 1 Connectivity was either recorded from an interaction network, or inferred from measurement of association patterns.
Hence, disease effects of neuropsychiatric and neurological disorders can be found in altered brain connectivity [Seeley et al., 2009; Zalesky et al., 2010].
For example, it was claimed that the network motifs found in the neural-connectivity network of the nematode C. elegans may be the result of using a null hypothesis which does not account for localized aggregation of neural connections.
Although we found alterations in connectivity involving somatosensory cortices, this explanation does not fully account for our results, because our connectivity analyses were not seeded from the thalamus or somatosensory cortices but from the PCC.
We begin with a total number of 4600 nodes, uniformly linked at random (giving a Poissonian connectivity distribution) such that the average connectivity of nodes with non-zero connectivity is κ = 2.5, the average connectivity found in the data set we used.
Hot spots of potential microbial respiration were found in areas of lower connectivity if connected during higher discharges and areas of high water depths.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com