Exact(4)
However, although the ICA identified multiple components within the IFC, none of them responded significantly more to infrequent cues in the INHIBITION relative to the control tasks; yet, several of these ROIs were related to inhibitory task performance as gauged by correlations between SSRT and functional connectivity measures.
Spatial independent component analysis (ICA) identified visual, attentional and left executive as core networks.
The analysis outlined above was applied to (i) the mean activity of the ICA identified resting state networks and (ii) to the voxel-wise preprocessed fMRI data.
These studies using independent component analysis (ICA) identified some circuits including the superior, middle, and orbitofrontal cortex (OFC) and anterior cingulate cortex (ACC), primary/supplementary motor areas, frontal-temporal-basal ganglia, cerebellum, and medial prefrontal, inferior parietal, and lateral temporal cortices while driving under the influence of alcohol [ 3].
Similar(56)
ICA identifies a predefined number of hidden variables ("independent components") by factoring the gene expression data matrix, X, into a product of two matrices: X ∼ SA.
ICA analyses identified 13 out of 35 components displaying common RSNs.
The ICA successfully identified a right-lateralized fronto-parietal network, which looked very similar across the 2 groups of subjects.
Using a combined bioinformatics approach involving seed matching, promoter analysis, text mining and ICA we identified miRNA regulatory networks.
Using this model, the systematic hazards and safety-related constraints are firstly defined, the safety control structure (SCS) is then established, the inappropriate control actions (ICAs) are identified in the next step, and the key factors that contribute to ICAs are finally determined.
From the group ICAs, we identified five significant independent component patterns of interest (i.e., RSNs) that were common to both of the task conditions (Figure 2).
DOI: http://dx.doi.org/10.7554/eLife.08440.007 > -wrap-foot>> -wrap-fooTo To confirm that the PD-ICA network identified above was disease-related, we compared individual deformation values in the network to measures of disease severity.
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