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Abstract #0053

LFP-triggered Co-activation Patterns Show That the Relationship between LFP and BOLD Is Driven by a Few Distinct Events

Xiaodi Zhang1, Wen-Ju Pan1, and Shella Keilholz1

1Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, United States

To gather electrophysiological evidence of time-varying functional networks, we developed a new method to analyze simultaneous fMRI and LFP data, which averages the fMRI frames at LFP power higher or lower than a threshold. The results not only show that the correlation between LFP power and BOLD is driven by a few distinct instead of a continuous interaction, but also suggests that the non-stationary resting state networks found in fMRI studies represent the time-varying behavior of LFPs.

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