Sentence examples for various functional networks from inspiring English sources
Resting-state functional MRI may hence reveal functional connectivity within various functional networks in a single functional MRI experiment.
It is important to point out, however, that in order to separate the various functional networks and their activation dynamics, we had to rely on the substantial body of previous neuroimaging research about how brain areas relate to function.
Given that pathology does not always map onto the clinical expression of the disease and has considerable clinical heterogeneity, biomarkers (such as TF-fMRI) that can provide information about the various functional networks may aid in the differential diagnosis of dementia types.
Most of these techniques follow the same basic paradigm: first, they generate various functional association networks (one or more networks for one data source) that encode the implicit information of shared functions of proteins in each data source.
Moreover, RS-fMRI studies of subcortical and cortical nodes were not combined up to now with DTI studies to analyse in migraine patients the connectivity patterns between the thalamus and various functional cerebral networks at rest.
Differentially expressed genes were then classified into various functional interaction networks, as described in Materials and methods.
Despite the multiple roles of a particular gene [ 43], Ingenuity Pathway Analysis classified the differentially regulated genes into various associated functional network groups (Table 2).
Previous studies have employed sparse coding to model functional networks in various modalities and scales.
Various components of certain integrated functional networks, including the vestibular, auditory, proprioceptive, interoceptive, arousal and respiratory systems, share a developmental requirement for Atoh1 [4], [37] [38], [38].
APP interacts with itself and its own proteolytic fragments at many points in the network with various functional consequences.
In this paper, we explored random matrix theory and parallel computing techniques to dissect transcriptional networks and identify various functional modules for large-scale microarray datasets.
