Distinct Neurophysiological Correlates of Global vs. Local Resting State fMRI Networks

To elucidate the neural basis of resting state fMRI, we separated and characterized the fractal and oscillatory components of neurophysiological signals observed with electrocorticography (ECoG) and magnetoencephalography (MEG), and evaluated the distinct contributions of such electrophysiological components to resting state fMRI networks by using simultaneously acquired fMRI and electroencephalography (EEG). We found that the globally synchronized fMRI signals were correlated with the fractal component of electrophysiology, and that the fMRI activities of spatially specific networks were coupled to the oscillatory components of electrophysiology. The global fMRI and fractal electrophysiology likely result from common neural modulation pathways with diffusive projects that innervate the entire cortex.

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