Meeting Banner
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

This abstract and the presentation materials are available to members only; a login is required.

Join Here