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The genes in the significant KEGG pathways were further analyzed by IPA Ingenuity Systemss, Redwood City, CA, USA) to examine networks, functions, and associated diseases.
Advances in human neuroimaging have expanded our ability to understand the functioning of the brain, with particular recent advances fostering our analytic capacity to examine networks between the brain's nerve cells (i.e., neurons) and neuroconnectivity (i.e., neural networks).
Multivariate inference in the context of lesion-mapping is not an extension to the conventional voxel-wise mass-univariate method (i.e. voxel-based lesion symptom mapping), mainly for those who wish to examine networks as well as single critical areas, but a necessity for anyone who uses vascular lesions to do any kind of anatomical inference in the brain.
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The study of these structures uses social network analysis to explain local and global patterns and examine network dynamics.
First, we fix the value of SO to 1. Then we examine network performance with different BO values.
First, we examine network structure and find evidence confirming the idea that groups and drug markets are loosely organized and that groups have identifiable central figures.
This result encouraged us to examine network analysis from the same starting point.
To examine network task engagement, component time courses were parameterized using multiple regression to provide association estimates (beta weights) between time courses and the phases of the fMRI paradigm (i.e., encoding vs. recognition).
In order to examine network integrity, the present study used functional connectivity magnetic resonance imaging (fcMRI).
We applied the DAVID tool to examine network candidate communities on the basis of their associations with functional annotations [ 19].
For the three experiments subjecting "steady state" groups to 4-hour hypoxia (naïve flies in 4% and 0.5% oxygen and adapted flies in 0.5% oxygen), we used flux-balance analysis to examine network-level features of metabolic changes.
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