Abstract #3944
Do fMRI Resting State Networks have True High Frequency Electrical Correlates of Neural Dynamics?
Yun Wang 1 and Gopikrishna Deshpande 1,2
1
AU MRI Research Center, Department of
Electrical & Computer Engineering, Auburn University,
Auburn, Alabama, United States,
2
Department
of Psychology, Auburn University, Auburn, Alabama,
United States
Previous studies have showed that the envelope of EEG
gamma band power is correlated with slow fMRI
fluctuations in resting state networks. However,
simultaneous EEG/fMRI studies have not been able to
assess whether fMRI RSNs have a true neural basis in
millisecond-scale fast neuronal dynamics. In order to
address this issue, we acquired simultaneous EEG/fMRI
data multiband EPI with TR =1000 and 200 ms and fused
the modalities using parallel independent component
analysis (pICA) such that native resolution of either
modality is not compromised. Our results suggest high
frequency electrical correlates for visual resting state
network
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