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Abstract #1832

Quasiperiodic Patterns in resting state fMRI signal reflect dynamics of cortical slow rhythms

Vahid Khalilzad Sharghi1, Eric A Maltbie1, Wen-Ju Pan1, Shella Keilholz1, and Kaundinya S Gopinath1
1Emory University, Atlanta, GA, United States


In this study, we tested hypothesis advanced by some groups that brain slow rhythms serve as the neurophysiological basis of resting state fMRI (rsfMRI). Putative suppression of cortical rhythms with an established technique, led to significant reduction in the amplitude of rsfMRI quasi-periodic patterns (QPPs), and enhancement in the rsfMRI measures of intrinsic functional connectivity FC in canonical brain function networks in rats. The results indicate cortical slow rhythms serve as the genesis of only the vigilance dependent components (e.g., QPP) of rsfMRI signals. Further attenuation of these non-specific signals enhances delineation of brain function networks.

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