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Neuroimaging studies involved acupuncture have already demonstrated its significant modulatory effects on the limbic system, paralimbic and subcortical gray structures. These structures with presumably intimated relationships with acupuncture may constitute a network. In this study, we employed a network mode from the graph theory to evaluate the functional connectivity among multiple brain regions...
In order to identify the local areas whose activity are most similar with region of interest (ROI), we usually compute the correlation of fMRI data for the brain functional connectivity. The fMRI data is usually noisy, extraction of functional connectivity with the voxel by voxel based method such as Pearson correlation analysis is not robust. Many people smooth the fMRI data before compute the correlation...
Most established activation detection techniques for functional magnetic resonance imaging(fMRI) data are always based on oversimplified assumptions that no spatial or temporal correlations exist in the data. In this article, we strive for analysis of fMRI data in local frequency domain with multitaper frequency-domain singular value decomposition(MTM-SVD) technique which explicitly takes into account...
A functional connectivity, which are temporally correlated in functionally related brain regions, before and after acupuncture manipulation was measured by MRI. Amygdala, as the control system of endogenetic analgesia, was selected for "seed" point. We found that compelling similarity existed in the network of resting state before and after acupuncture manipulation. A paired student t-test...
A functional connectivity, which are temporally correlated in functionally related brain regions, before and after acupuncture manipulation was measured by MRI. Amygdala, as the control system of endogenetic analgesia, was selected for "seed" point. We found that compelling similarity existed in the network of resting state before and after acupuncture manipulation. A paired student t-test...
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