These techniques have revealed that, even in the absence of stimulation, network activity organizes in complex spatiotemporal patterns [1], [3] [8] that reflect, at least to some extent, the underlying network architecture [5], [6].
Similar to 3 hours, we observed significantly increased induction of inflammatory responses, activation of STAT1, PMN and macrophages, and fMLP stimulation network gene expression profiles at 4 weeks in the lungs of HN878-infected animals, compared to CDC1551-infected rabbit lungs.
Taken together, compared to 3 hours, the gene expression pattern shows a general dampening in the activation of PMN, macrophage and, fMLP stimulation networks at 4 weeks in both HN878- and CDC1551-infected rabbit lungs.
Utilizing a protein-protein interaction network database (STRING) in combination with the MCODE detection algorithm, Chen et al. (11) identified 87 protein-protein interaction networks, including a ribosomal protein network, a mRNA splicing network, EGF stimulation networks, and a tRNA synthetase network.
In a recent study using brain slices from monocular deprived rats, enhanced neuronal excitability was found to overcome reductions in chemical synaptic transmissions resulting in a net stimulation of network activity [47].
Reato, D., Rahman, A., Bikson, M. & Parra, L. C. Low-intensity electrical stimulation affects network dynamics by modulating population rate and spike timing.
Next, we investigated the effect of slow stimulation on network functional connectivity in more detail.
In the absence of stimulation, our network is driven by intrinsic, random background fluctuations modeled as uncorrelated, white noise; noise which emerges from fluctuations in channel opening and closing events and spontaneous synaptic release, among other sources of biological variability.
The advantage of this approach is the identification of structural features within the stimulation-inhibition network through combinations of either stimulation and/or inhibition.
The reconstruction of a stimulation-inhibition network between signalling proteins will lead to a significantly improved benefit compared to direct response modelling of individual proteins.
The complexity of induced hydraulically fractured geometries, the stimulation of networks of pre-existing (natural) fractures, adsorption and desorption processes, and non-Darcy multiphase flow through the chemically heterogeneous shale are all phenomena that could potentially result in a departure from the scaling behavior of the Patzek model (Cueto-Felguerosoa and Juanesa 2013).
