Abstract #0601
Distinct Neurophysiological Correlates of Global vs. Local Resting State fMRI Networks
Haiguang Wen 1 and Zhongming Liu 1,2
1
Electrical and Computer Engineering, Purdue
University, West Lafayette, Indiana, United States,
2
Biomedical
Engineering, Purdue University, West Lafayette, Indiana,
United States
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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