While ReHo reveals correlations between slow fluctuations of the BOLD MR signal in various brain regions, ICA determines networks related to the decomposed temporal signal fluctuations.
Presumably, pathological changes and lesions involving various brain areas and neuronal networks lead to changes in the functioning of the brain, which in consequence affect memory, activities of daily living (ADL) and the behaviour of patients [ 1, 2].
However, various brain regions constituting WM network are considered to subserve more specialized functions.
In this special issue, we have invited a few papers that studied structural and functional brain networks using various neuroimaging methods including resting-state fMRI, diffusion tensor imaging (DTI), arterial spin labeling (ASL) perfusion MRI, functional near-infrared spectroscopy (fNIRS), magnetoencephalogram (MEG), and imaging genetics.
Seed based analysis revealed greater functional connectivity between the left thalamus and the cerebellum after LPS compared to placebo administration, while the functional coupling between seeds within the amygdala, insula, and cingulate cortex and various brain regions including parieto-frontal networks was significantly reduced.
With regard to the locations that dyslexics demonstrate decreased N100 amplitudes, it is obvious that it concerns a widespread network within various brain regions.
Among the various brain regions within this fronto-parietal network, the role of a parietal-premotor connection associated with sensory-motor integration is particularly interesting for the interpretation of our findings for perspective and agency.
Processing of the diverse aspects of the self draws on information derived from various sensory and cognitive processes associated with separate brain networks.
Therefore, we speculated that the asymmetric topology of brain networks would also change under various conditions with mental diseases and may supply as sensitive biomarkers for early disease detection, which should be further investigated.
